--- title: Many paintings mix fact and legend, and some mysteries were later fi… — Famous paintings and the stories behind them · tree and pragmatics description: Many paintings mix fact and legend, and some mysteries were later filled in by novels and films; it is wise to ask why an artist chose a style or a subject before mocking it, and to know which parts of a story are made up. Who acts: Many paintings, novels, artist. A sentence of the lesson «Famous pa --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/arts/15-famous-paintings-and-the-stories-behind-them/3/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [Arts](https://md.mova.elamur.ai/free/en/corpora/school/arts/) / [Famous paintings and the stories behin…](https://md.mova.elamur.ai/free/en/corpora/school/arts/15-famous-paintings-and-the-stories-behind-them/) / 3 # Famous paintings and the stories behind them, sentence 3 Many paintings mix fact and legend, and some mysteries were later filled in by novels and films; it is wise to ask why an artist chose a style or a subject before mocking it, and to know which parts of a story are made up. **Who acts:** Many paintings, novels, artist · **What happens:** mix, fill in, be, ask, choose, mock · **To what, where:** fact, mysteries, style, parts · **Speech:** someone speaks here This is a sentence of the lesson «Famous paintings and the stories behind them» of the arts course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (Many paintings, novels, artist), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:arts:015-famous-paintings-and-the-stories-behind-them.lesson:3 # text = Many paintings mix fact and legend, and some mysteries were later filled in by novels and films; it is wise to ask why an artist chose a style or a subject before mocking it, and to know which parts of a story are made up. # source = school lesson (ours) # course = arts # lesson = 015-famous-paintings-and-the-stories-behind-them.lesson # annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R6-punct-agree ×1, R7-rel-agree ×2, R8-pos-agree ×2 1 Many many ADJ JJ Degree=Pos 2 amod _ _ 2 paintings painting NOUN NNS Number=Plur 3 nsubj _ _ 3 mix mix VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 4 fact fact NOUN NN Number=Sing 3 obj _ _ 5 and and CCONJ CC _ 6 cc _ _ 6 legend legend NOUN NN Number=Sing 4 conj _ _ 7 , , PUNCT , _ 13 punct _ _ 8 and and CCONJ CC _ 13 cc _ _ 9 some some DET DT PronType=Ind 10 det _ _ 10 mysteries mystery NOUN NNS Number=Plur 13 nsubj:pass _ _ 11 were be AUX VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 13 aux:pass _ _ 12 later late ADV RBR Degree=Cmp 13 advmod _ _ 13 filled fill VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 3 conj _ _ 14 in in ADP RP _ 13 compound:prt _ Agree=R8-pos-agree|Haiku=13:compound:prt|HaikuPos=PART:RP:_ 15 by by ADP IN _ 16 case _ _ 16 novels novel NOUN NNS Number=Plur 13 obl _ _ 17 and and CCONJ CC _ 18 cc _ _ 18 films film NOUN NNS Number=Plur 16 conj _ _ 19 ; ; PUNCT , _ 22 punct _ _ 20 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 22 expl _ _ 21 is be AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 22 cop _ _ 22 wise wise ADJ JJ Degree=Pos 3 parataxis _ Agree=R7-rel-agree|Haiku=3:conj 23 to to PART TO _ 24 mark _ _ 24 ask ask VERB VB VerbForm=Inf 22 csubj _ Agree=R7-rel-agree|Haiku=22:xcomp 25 why why ADV WRB PronType=Int 28 advmod _ _ 26 an a DET DT Definite=Ind|PronType=Art 27 det _ _ 27 artist artist NOUN NN Number=Sing 28 nsubj _ _ 28 chose choose VERB VBD Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin 24 ccomp _ _ 29 a a DET DT Definite=Ind|PronType=Art 30 det _ _ 30 style style NOUN NN Number=Sing 28 obj _ _ 31 or or CCONJ CC _ 33 cc _ _ 32 a a DET DT Definite=Ind|PronType=Art 33 det _ _ 33 subject subject NOUN NN Number=Sing 30 conj _ _ 34 before before SCONJ IN _ 35 mark _ _ 35 mocking mock VERB VBG Tense=Pres|VerbForm=Part 28 advcl _ _ 36 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 35 obj _ _ 37 , , PUNCT , _ 40 punct _ Agree=R6-punct-agree|Haiku=47:punct 38 and and CCONJ CC _ 40 cc _ _ 39 to to PART TO _ 40 mark _ _ 40 know know VERB VB VerbForm=Inf 24 conj _ _ 41 which which DET WDT PronType=Int 42 det _ _ 42 parts part NOUN NNS Number=Plur 47 nsubj:pass _ _ 43 of of ADP IN _ 45 case _ _ 44 a a DET DT Definite=Ind|PronType=Art 45 det _ _ 45 story story NOUN NN Number=Sing 42 nmod _ _ 46 are be AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 47 aux:pass _ _ 47 made make VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 40 ccomp _ _ 48 up up ADP RP _ 47 compound:prt _ Agree=R8-pos-agree|Haiku=47:compound:prt|HaikuPos=PART:RP:_ 49 . . PUNCT . _ 3 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **mix** | present | Many paintings | fact and legend | | | | | vn mix-22.1-1-1 «NP V NP»: agent=Agent fact=Patient | | 2 | **fill in** | past · passive | novels and films | some mysteries | | | | late *property* | vn other\_cos-45.4 «NP V NP.patient»: agent=Agent subject=Patient | | 3 | **is** | present | | | | | | wise *property* | tree rules | | 4 | **ask** *speech: ask* | to-infinitive | | | | | | | vn inquire-37.1.2 «NP V how S»: agent=Agent clause=Topic | | 5 | **choose** | past | a artist | a style or a subject | | | | | vn get-13.5.1 «NP V NP»: agent=Agent style=Theme | | 6 | **mock** | gerund | a artist *not said here* | style | | | | | vn judgment-33.1-1 «NP V NP»: agent=Agent it=Theme | | 7 | **know** | to-infinitive | | | | | | | vn comprehend-87.2-1-1-1 «NP V S\_ING»: agent=Experiencer clause=Stimulus | | 8 | **make up** | present · passive | | which parts of a story | | | | | vn comprise-107.2-1 «NP V NP»: subject=Pivot | 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. **Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:arts:015-famous-paintings-and-the-stories-behind-them.lesson:3`. **The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R6-punct-agree ×1, R7-rel-agree ×2, R8-pos-agree ×2. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence. See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/). - ← previous: [Famous paintings and the stories behin…, 1](https://md.mova.elamur.ai/free/en/corpora/school/arts/15-famous-paintings-and-the-stories-behind-them/1/) - next →: [Famous paintings and the stories behin…, 4](https://md.mova.elamur.ai/free/en/corpora/school/arts/15-famous-paintings-and-the-stories-behind-them/4/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/arts/15-famous-paintings-and-the-stories-behind-them/)