---
title: "bot gave me Ella's number, gonna text her" What's the problem? — Strangers, hooks and too-perfect messa… · tree and pragmatics
description: "bot gave me Ella's number, gonna text her" What's the problem? Test 4 · ★ of lesson 13 «Strangers, hooks and too-perfect messages» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was right.
---

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# Test 4 · ★ · Strangers, hooks and too-perfect messages

<!-- .ven lang=en -->
"bot gave me Ella's number, gonna text her" What's the problem?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** bot · **What happens:** give, text, be · **To what, where:** number, me, bot, problem · **Speech:** someone speaks here

<!-- .vabout -->
This is test 4 · ★ of lesson 13 «Strangers, hooks and too-perfect messages» of the AI 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/ai/13-strangers-hooks-and-too-perfect-messages/#t4).

## The question {#question}

```conllu
# sent_id = question:ai:13-strangers-hooks-and-too-perfect-messages:t4:1
# text = "bot gave me Ella's number, gonna text her" What's the problem?
1	"	"	PUNCT	``	_	3	punct	_	SpaceAfter=No
2	bot	bot	NOUN	NN	Number=Sing	3	nsubj	_	_
3	gave	give	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
4	me	I	PRON	PRP	Case=Acc|Number=Sing|Person=1|PronType=Prs	3	iobj	_	_
5	Ella	Ella	PROPN	NNP	Number=Sing	7	nmod:poss	_	SpaceAfter=No
6	's	's	PART	POS	_	5	case	_	_
7	number	number	NOUN	NN	Number=Sing	3	obj	_	SpaceAfter=No
8	,	,	PUNCT	,	_	10	punct	_	_
9	gonna	gonna	X	FW	Foreign=Yes	10	dep	_	_
10	text	text	VERB	VB	VerbForm=Inf	3	conj	_	_
11	her	she	PRON	PRP	Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs	10	obj	_	SpaceAfter=No
12	"	"	PUNCT	``	_	16	punct	_	_
13	What	what	PRON	WP	PronType=Int	16	obj	_	SpaceAfter=No
14	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	16	cop	_	_
15	the	the	DET	DT	Definite=Def|PronType=Art	16	det	_	_
16	problem	problem	NOUN	NN	Number=Sing	10	parataxis	_	SpaceAfter=No
17	?	?	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **give** *in a quote* | past | bot | Ella's number | me |  |  |  | vn give-13.1-1 «NP V NP-Dative NP»: agent=Agent i=Recipient number=Theme |
| 2 | **text** *in a quote* | infinitive | bot *not said here* | bot |  |  |  |  | tree rules |
| 3 | **is a** | present |  | the problem |  |  |  |  | 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.

## The options {#options}

### Option 1 · ← Mova's choice · ✓ the right answer {#o1}

<!-- .ven lang=en -->
The bot may have made it up; ask Ella or her parents

```conllu
# sent_id = question:ai:13-strangers-hooks-and-too-perfect-messages:t4:o1:1
# text = The bot may have made it up; ask Ella or her parents
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	bot	bot	NOUN	NN	Number=Sing	9	nsubj	_	_
3	may	may	AUX	MD	VerbForm=Fin	5	aux	_	_
4	have	have	AUX	VB	VerbForm=Inf	5	aux	_	_
5	made	make	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	2	acl	_	_
6	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	5	obj	_	_
7	up	up	ADP	RP	_	5	compound:prt	_	SpaceAfter=No
8	;	;	PUNCT	,	_	9	punct	_	_
9	ask	ask	VERB	VB	VerbForm=Inf	0	root	_	_
10	Ella	Ella	PROPN	NNP	Number=Sing	9	obj	_	_
11	or	or	CCONJ	CC	_	13	cc	_	_
12	her	her	PRON	PRP$	Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs	13	nmod:poss	_	_
13	parents	parent	NOUN	NNS	Number=Plur	10	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **make up** | may · perfect | the bot *not said here* | bot |  |  |  |  | vn comprise-107.2-1 «NP V NP»: agent=Theme it=Pivot |
| 2 | **ask** *speech: ask* | infinitive | the bot |  | Ella or her parents |  |  |  | vn inquire-37.1.2 «NP V NP.recipient»: agent=Agent ella=Recipient |

### Option 2 {#o2}

<!-- .ven lang=en -->
Texts to bot numbers are free

```conllu
# sent_id = question:ai:13-strangers-hooks-and-too-perfect-messages:t4:o2:1
# text = Texts to bot numbers are free
1	Texts	text	NOUN	NNS	Number=Plur	6	nsubj	_	_
2	to	to	ADP	IN	_	4	case	_	_
3	bot	bot	NOUN	NN	Number=Sing	4	compound	_	_
4	numbers	number	NOUN	NNS	Number=Plur	1	nmod	_	_
5	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	6	cop	_	_
6	free	free	ADJ	JJ	Degree=Pos	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | Texts to bot numbers |  |  |  |  | free *property* | tree rules |

### Option 3 {#o3}

<!-- .ven lang=en -->
Nothing, bots know everyone's number from the phone company

```conllu
# sent_id = question:ai:13-strangers-hooks-and-too-perfect-messages:t4:o3:1
# text = Nothing, bots know everyone's number from the phone company
1	Nothing	nothing	PRON	NN	Number=Sing|PronType=Neg	3	compound	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	bots	bot	NOUN	NNS	Number=Plur	4	nsubj	_	_
4	know	know	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	everyone	everyone	PRON	NN	Number=Sing|PronType=Tot	7	nmod:poss	_	SpaceAfter=No
6	's	's	PART	POS	_	5	case	_	_
7	number	number	NOUN	NN	Number=Sing	4	obj	_	_
8	from	from	ADP	IN	_	11	case	_	_
9	the	the	DET	DT	Definite=Def|PronType=Art	11	det	_	_
10	phone	phone	NOUN	NN	Number=Sing	11	compound	_	_
11	company	company	NOUN	NN	Number=Sing	4	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **know** | present | Nothing bots | everyone's number |  | the phone company |  |  | vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer number=Stimulus |

### Option 4 {#o4}

<!-- .ven lang=en -->
Ella's number is secret from humans

```conllu
# sent_id = question:ai:13-strangers-hooks-and-too-perfect-messages:t4:o4:1
# text = Ella's number is secret from humans
1	Ella	Ella	PROPN	NNP	Number=Sing	3	nmod:poss	_	SpaceAfter=No
2	's	's	PART	POS	_	1	case	_	_
3	number	number	NOUN	NN	Number=Sing	5	nsubj	_	_
4	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	cop	_	_
5	secret	secret	ADJ	JJ	Degree=Pos	0	root	_	_
6	from	from	ADP	IN	_	7	case	_	_
7	humans	human	NOUN	NNS	Number=Plur	5	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | Ella's number |  |  |  |  | from humans; secret *property* | tree rules |

<!-- div src -->

**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: [Strangers, hooks and too-perfect messa…, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/ai/13-strangers-hooks-and-too-perfect-messages/t3/)
- next →: [Strangers, hooks and too-perfect messa…, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/ai/13-strangers-hooks-and-too-perfect-messages/t5/)
- ↑ back to [Strangers, hooks and too-perfect messages](https://md.mova.elamur.ai/free/en/corpora/questions/ai/13-strangers-hooks-and-too-perfect-messages/)