---
title: Bruno was so salty, then the Queen just glowed him up. — White Cat, Princess Felicia: a magic w… · tree and pragmatics
description: Bruno was so salty, then the Queen just glowed him up. Test 2 · ★ of lesson 1450 «White Cat, Princess Felicia: a magic wedding and a palace for Bruno» of the books 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 2 · ★ · White Cat, Princess Felicia: a magic wedding and a palace…

<!-- .ven lang=en -->
Bruno was so salty, then the Queen just glowed him up.

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** Bruno, Queen · **What happens:** be, glow up · **To what, where:** Bruno

<!-- .vabout -->
This is test 2 · ★ of lesson 1450 «White Cat, Princess Felicia: a magic wedding and a palace for Bruno» of the books 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/books/1450-pg503-part37/#t2).

## The question {#question}

```conllu
# sent_id = question:books:1450-pg503-part37:t2:1
# text = Bruno was so salty, then the Queen just glowed him up.
1	Bruno	Bruno	PROPN	NNP	Number=Sing	4	nsubj	_	_
2	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	cop	_	_
3	so	so	ADV	RB	_	4	advmod	_	_
4	salty	salty	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
5	,	,	PUNCT	,	_	10	punct	_	_
6	then	then	ADV	RB	PronType=Dem	10	advmod	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
8	Queen	Queen	PROPN	NNP	Number=Sing	10	nsubj	_	_
9	just	just	ADV	RB	_	10	advmod	_	_
10	glowed	glow	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	conj	_	_
11	him	he	PRON	PRP	Case=Acc|Gender=Masc|Number=Sing|Person=3|PronType=Prs	10	obj	_	_
12	up	up	ADP	RP	_	10	compound:prt	_	SpaceAfter=No
13	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | past | Bruno |  |  |  |  | salty *property* | tree rules |
| 2 | **glow up** | past | the Queen | Bruno |  |  | then |  | vn light\_emission-43.1 «NP V NP.theme»: agent=Agent he=Theme |

<!-- .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 -->
Total glow-up, bet

```conllu
# sent_id = question:books:1450-pg503-part37:t2:o1:1
# text = Total glow-up, bet
1	Total	total	ADJ	JJ	Degree=Pos	2	amod	_	_
2	glow	glow	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
3	-	-	PUNCT	HYPH	_	4	punct	_	SpaceAfter=No
4	up	up	NOUN	NN	Number=Sing	2	compound	_	SpaceAfter=No
5	,	,	PUNCT	,	_	6	punct	_	_
6	bet	bet	NOUN	NN	Number=Sing	2	conj	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 2 {#o2}

<!-- .ven lang=en -->
Total glow-up, the Queen was so iconic, bet

```conllu
# sent_id = question:books:1450-pg503-part37:t2:o2:1
# text = Total glow-up, the Queen was so iconic, bet
1	Total	total	ADJ	JJ	Degree=Pos	4	amod	_	_
2	glow	glow	NOUN	NN	Number=Sing	4	compound	_	SpaceAfter=No
3	-	-	PUNCT	HYPH	_	4	punct	_	SpaceAfter=No
4	up	up	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
5	,	,	PUNCT	,	_	10	punct	_	_
6	the	the	DET	DT	Definite=Def|PronType=Art	7	det	_	_
7	Queen	Queen	PROPN	NNP	Number=Sing	10	nsubj	_	_
8	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	10	cop	_	_
9	so	so	ADV	RB	_	10	advmod	_	_
10	iconic	iconic	ADJ	JJ	Degree=Pos	4	conj	_	SpaceAfter=No
11	,	,	PUNCT	,	_	12	punct	_	_
12	bet	bet	NOUN	NN	Number=Sing	10	parataxis	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | past | the Queen |  |  |  |  | iconic *property* | tree rules |

### Option 3 {#o3}

<!-- .ven lang=en -->
He got a total glow-up, no cap, bet

```conllu
# sent_id = question:books:1450-pg503-part37:t2:o3:1
# text = He got a total glow-up, no cap, bet
1	He	he	PRON	PRP	Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	got	get	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	7	det	_	_
4	total	total	ADJ	JJ	Degree=Pos	7	amod	_	_
5	glow	glow	NOUN	NN	Number=Sing	7	compound	_	SpaceAfter=No
6	-	-	PUNCT	HYPH	_	7	punct	_	SpaceAfter=No
7	up	up	NOUN	NN	Number=Sing	2	obj	_	SpaceAfter=No
8	,	,	PUNCT	,	_	10	punct	_	_
9	no	no	DET	DT	PronType=Neg	10	det	_	_
10	cap	cap	NOUN	NN	Number=Sing	7	appos	_	SpaceAfter=No
11	,	,	PUNCT	,	_	12	punct	_	_
12	bet	bet	NOUN	NN	Number=Sing	10	conj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **get** | past | He | a total glow up |  |  |  |  | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer up=Stimulus |

### Option 4 {#o4}

<!-- .ven lang=en -->
Major makeover, bet

```conllu
# sent_id = question:books:1450-pg503-part37:t2:o4:1
# text = Major makeover, bet
1	Major	major	ADJ	JJ	Degree=Pos	2	amod	_	_
2	makeover	makeover	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
3	,	,	PUNCT	,	_	4	punct	_	_
4	bet	bet	NOUN	NN	Number=Sing	2	conj	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

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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.

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- ← previous: [White Cat, Princess Felicia: a magic w…, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/books/1450-pg503-part37/t1/)
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