---
title: His surname meant “Millionaire,” but although he was not so rich as… — Japanese Fairy Tales, by Yei Theodora Ozaki · tree and pragmatics
description: His surname meant “Millionaire,” but although he was not so rich as all that, he was still very far removed from being poor. Who acts: surname. A sentence of «Japanese Fairy Tales, by Yei Theodora Ozaki», a book of tales from Project Gutenberg with its dependency tree and the pragmatics of every cla
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/tales/pg4018/858/)

<!-- crumbs -->
[home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [tales](https://md.mova.elamur.ai/free/en/corpora/tales/) / [Japanese Fairy Tales, by Yei Theodora…](https://md.mova.elamur.ai/free/en/corpora/tales/pg4018/) / 858

# Japanese Fairy Tales, by Yei Theodora Ozaki, sentence 858

<!-- .ven lang=en -->
His surname meant “Millionaire,” but although he was not so rich as all that, he was still very far removed from being poor.

<!-- .vintro -->
**Who acts:** surname · **What happens:** mean, not be, remove, be · **To what, where:** Millionaire, surname

<!-- .vabout -->
This is a sentence of «Japanese Fairy Tales, by Yei Theodora Ozaki», a book of tales from Project Gutenberg. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (surname), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = gutenberg:pg4018:858
# text = His surname meant “Millionaire,” but although he was not so rich as all that, he was still very far removed from being poor.
# source = Project Gutenberg (public domain in the USA), book id in sent_id
# annotation = Mova annot: Rust (en) → Claude Opus (medium) patches; gates UD 2.18
1	His	his	PRON	PRP$	Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs	2	nmod:poss	_	_
2	surname	surname	NOUN	NN	Number=Sing	3	nsubj	_	_
3	meant	mean	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
4	“	"	PUNCT	``	_	5	punct	_	_
5	Millionaire	millionaire	NOUN	NN	Number=Sing	3	obj	_	_
6	,	,	PUNCT	,	_	5	punct	_	_
7	”	"	PUNCT	''	_	5	punct	_	_
8	but	but	CCONJ	CC	_	24	cc	_	_
9	although	although	SCONJ	IN	_	14	mark	_	_
10	he	he	PRON	PRP	Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs	14	nsubj	_	_
11	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	14	cop	_	_
12	not	not	PART	RB	Polarity=Neg	14	advmod	_	_
13	so	so	ADV	RB	_	14	advmod	_	_
14	rich	rich	ADJ	JJ	Degree=Pos	24	advcl	_	_
15	as	as	ADP	IN	_	17	case	_	_
16	all	all	DET	DT	PronType=Tot	17	det	_	_
17	that	that	PRON	DT	Number=Sing|PronType=Dem	14	obl	_	_
18	,	,	PUNCT	,	_	14	punct	_	_
19	he	he	PRON	PRP	Case=Nom|Gender=Masc|Number=Sing|Person=3|PronType=Prs	24	nsubj:pass	_	_
20	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	24	aux:pass	_	_
21	still	still	ADV	RB	_	23	advmod	_	_
22	very	very	ADV	RB	_	23	advmod	_	_
23	far	far	ADV	RB	Degree=Pos	24	advmod	_	_
24	removed	remove	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	3	conj	_	_
25	from	from	SCONJ	IN	_	27	mark	_	_
26	being	be	AUX	VBG	VerbForm=Ger	27	cop	_	_
27	poor	poor	ADJ	JJ	Degree=Pos	24	advcl	_	_
28	.	.	PUNCT	.	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **mean** | past | monkey's surname | Millionaire |  |  |  |  | vn intend-61.2-1 «NP V NP»: agent=Agent millionaire=Topic |
| 2 | **not** **is** | past | surname |  |  |  |  | as that; rich *property* | tree rules |
| 3 | **remove** | past · passive |  | surname |  |  |  | far *property* | vn fire-10.10 «NP V NP»: subject=Theme |
| 4 | **is** | gerund |  |  |  |  |  | poor *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.

<!-- div src -->

**Text:** «Japanese Fairy Tales, by Yei Theodora Ozaki», Project Gutenberg book 4018 (public domain in the USA). **Annotation:** the tales treebank of Mova corpus 0.3 (`mova-tales-silver-en.conllu`), Apache-2.0 OR MIT: parsed by Mova, patched by a large language model as teacher under UD validation gates. Sentence `gutenberg:pg4018:858`.

**The tree:** Mova annot: Rust (en) → Claude Opus (medium) patches; gates UD 2.18. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the tale's sample read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.3](https://md.mova.elamur.ai/free/en/releases/0.3/).

<!-- /div -->

<!-- pn -->
- ← previous: [Japanese Fairy Tales, by Yei Theodora…, 814](https://md.mova.elamur.ai/free/en/corpora/tales/pg4018/814/)
- next →: [Japanese Fairy Tales, by Yei Theodora…, 863](https://md.mova.elamur.ai/free/en/corpora/tales/pg4018/863/)
- ↑ back to [the tale](https://md.mova.elamur.ai/free/en/corpora/tales/pg4018/)