Triple
T35709567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poupée de cire, poupée de son |
E1031813
|
entity |
| Predicate | lyricsWordplay |
P183847
|
FINISHED |
| Object | pun on "cire" (wax) and "son" (sawdust/sound) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: pun on "cire" (wax) and "son" (sawdust/sound) | Statement: [Poupée de cire, poupée de son, lyricsWordplay, pun on "cire" (wax) and "son" (sawdust/sound)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lyricsWordplay Context triple: [Poupée de cire, poupée de son, lyricsWordplay, pun on "cire" (wax) and "son" (sawdust/sound)]
-
A.
lyricExpresses
Indicates that the content or emotion of a lyric conveys, communicates, or articulates a particular idea, feeling, or message.
-
B.
lyricKeyword
Indicates that a lyric is associated with, or can be characterized by, a particular keyword or key phrase.
-
C.
spellingInLyrics
Indicates that the lyrics explicitly spell out a word or phrase rather than simply stating it normally.
-
D.
lyricalLanguage
Indicates that something is expressed using poetic, figurative, or highly expressive language.
-
E.
lyricalPhrase
Indicates that one entity is a lyrical phrase or line that is part of, derived from, or associated with another entity such as a song, poem, or musical work.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:05 p.m.