---
title: Auntie Bev: «New woman at 23's a famous actress, apparently, was on… — Our street: feuds, newcomers and stori… · tree and pragmatics
description: Auntie Bev: «New woman at 23's a famous actress, apparently, was on telly in the nineties.» What's the real evidence? Test 1 · ★ of lesson 42 «Our street: feuds, newcomers and stories that grow» of the adult life course of Mova's primary school, with the dependency tree and pragmatics of the questio
---

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# Test 1 · ★ · Our street: feuds, newcomers and stories that grow

<!-- .ven lang=en -->
Auntie Bev: «New woman at 23's a famous actress, apparently, was on telly in the nineties.» What's the real evidence?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** real evidence · **What happens:** be · **To what, where:** telly

<!-- .vabout -->
This is test 1 · ★ of lesson 42 «Our street: feuds, newcomers and stories that grow» of the adult life course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/adult-life/42-our-street-feuds-newcomers-and-stories-that-grow/#t1).

## The question {#question}

<!-- .note -->
*Sentence 1:* Auntie Bev: «New woman at 23's a famous actress, apparently, was on telly in the nineties.»

```conllu
# sent_id = question:adult-life:42-our-street-feuds-newcomers-and-stories-that-grow:t1:1
# text = Auntie Bev: «New woman at 23's a famous actress, apparently, was on telly in the nineties.»
1	Auntie	auntie	NOUN	NN	Number=Sing	0	root	_	_
2	Bev	Bev	PROPN	NNP	Number=Sing	1	appos	_	SpaceAfter=No
3	:	:	PUNCT	:	_	6	punct	_	_
4	«	«	PUNCT	``	_	6	punct	_	SpaceAfter=No
5	New	new	ADJ	JJ	Degree=Pos	6	amod	_	_
6	woman	woman	NOUN	NN	Number=Sing	1	appos	_	_
7	at	at	ADP	IN	_	8	case	_	_
8	23's	23'	NOUN	NNS	Number=Ptan|NumForm=Combi|NumType=Card	6	nmod	_	_
9	a	a	DET	DT	Definite=Ind|PronType=Art	11	det	_	_
10	famous	famous	ADJ	JJ	Degree=Pos	11	amod	_	_
11	actress	actress	NOUN	NN	Number=Sing	8	nmod:unmarked	_	SpaceAfter=No
12	,	,	PUNCT	,	_	17	punct	_	_
13	apparently	apparently	ADV	RB	_	17	advmod	_	SpaceAfter=No
14	,	,	PUNCT	,	_	13	punct	_	_
15	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	17	cop	_	_
16	on	on	ADP	IN	_	17	case	_	_
17	telly	telly	NOUN	NN	Number=Sing	6	appos	_	_
18	in	in	ADP	IN	_	20	case	_	_
19	the	the	DET	DT	Definite=Def|PronType=Art	20	det	_	_
20	nineties	ninety	NOUN	NNS	Number=Plur	17	nmod	_	SpaceAfter=No
21	.	.	PUNCT	.	_	17	punct	_	SpaceAfter=No
22	»	»	PUNCT	''	_	6	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** *in a quote* | past |  |  |  | telly |  | in the nineties; apparently *property* | tree rules |

<!-- .note -->
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

<!-- .note -->
*Sentence 2:* What's the real evidence?

```conllu
# sent_id = question:adult-life:42-our-street-feuds-newcomers-and-stories-that-grow:t1:2
# text = What's the real evidence?
1	What	what	PRON	WP	PronType=Int	0	root	_	SpaceAfter=No
2	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	1	cop	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
4	real	real	ADJ	JJ	Degree=Pos	5	amod	_	_
5	evidence	evidence	NOUN	NN	Number=Sing	1	nsubj	_	SpaceAfter=No
6	?	?	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | the real evidence |  |  |  |  |  | tree rules |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Her name is on the credits of a show

```conllu
# sent_id = question:adult-life:42-our-street-feuds-newcomers-and-stories-that-grow:t1:o1:1
# text = Her name is on the credits of a show
1	Her	her	PRON	PRP$	Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs	2	nmod:poss	_	_
2	name	name	NOUN	NN	Number=Sing	6	nsubj	_	_
3	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	cop	_	_
4	on	on	ADP	IN	_	6	case	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	credits	credit	NOUN	NNS	Number=Plur	0	root	_	_
7	of	of	ADP	IN	_	9	case	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
9	show	show	NOUN	NN	Number=Sing	6	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | Her name |  |  | the credits |  | of a show | tree rules |
| 2 | **name** |  | Her *= she* |  |  |  |  |  | nom name «communication transitive»: poss=agent |

### Option 2 · ✓ the right answer {#o2}

<!-- .ven lang=en -->
Someone thought she looked familiar

```conllu
# sent_id = question:adult-life:42-our-street-feuds-newcomers-and-stories-that-grow:t1:o2:1
# text = Someone thought she looked familiar
1	Someone	someone	PRON	NN	Number=Sing|PronType=Ind	2	nsubj	_	_
2	thought	think	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	4	nsubj	_	_
4	looked	look	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	2	ccomp	_	_
5	familiar	familiar	ADJ	JJ	Degree=Pos	4	xcomp	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **think** *speech: other* | past | Someone |  |  |  |  |  | vn consider-29.9-2 «NP V how S»: agent=Agent clause=Theme |
| 2 | **look** | past | she |  |  |  |  | familiar *property* | vn stimulus\_subject-30.4 «NP V ADJ»: agent=Stimulus |

### Option 3 {#o3}

<!-- .ven lang=en -->
She showed them old photos from telly

```conllu
# sent_id = question:adult-life:42-our-street-feuds-newcomers-and-stories-that-grow:t1:o3:1
# text = She showed them old photos from telly
1	She	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	showed	show	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	2	obj	_	_
4	old	old	ADJ	JJ	Degree=Pos	5	amod	_	_
5	photos	photo	NOUN	NNS	Number=Plur	2	obj	_	_
6	from	from	ADP	IN	_	7	case	_	_
7	telly	telly	NOUN	NN	Number=Sing	2	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **show** | past | She | them *= they* |  | telly |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP-Dative NP»: agent=Agent they=Recipient photo=Topic |

### Option 4 {#o4}

<!-- .ven lang=en -->
She signs autographs at the shop

```conllu
# sent_id = question:adult-life:42-our-street-feuds-newcomers-and-stories-that-grow:t1:o4:1
# text = She signs autographs at the shop
1	She	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	signs	sign	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	autographs	autograph	NOUN	NNS	Number=Plur	2	obj	_	_
4	at	at	ADP	IN	_	6	case	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	shop	shop	NOUN	NN	Number=Sing	2	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **sign** | present | She | autographs |  | the shop |  |  | vn image\_impression-25.1 «NP V NP.theme PP.destination»: agent=Agent autograph=Theme at shop=Destination |

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**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

<!-- /div -->

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- ← previous: [Our street: who parked where and who w…, exam 4](https://md.mova.elamur.ai/free/en/corpora/questions/adult-life/41-our-street-who-parked-where-and-who-won-what/e4/)
- next →: [Our street: feuds, newcomers and stori…, test 2](https://md.mova.elamur.ai/free/en/corpora/questions/adult-life/42-our-street-feuds-newcomers-and-stories-that-grow/t2/)
- ↑ back to [Our street: feuds, newcomers and stories that grow](https://md.mova.elamur.ai/free/en/corpora/questions/adult-life/42-our-street-feuds-newcomers-and-stories-that-grow/)