Triple
T37083917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Belle et la Bête (support to Jean Cocteau) |
E918230
|
entity |
| Predicate | benefitsArtist |
P20421
|
FINISHED |
| Object | Jean Cocteau |
—
|
NE NERFINISHED |
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: Jean Cocteau | Statement: [La Belle et la Bête (support to Jean Cocteau), benefitsArtist, Jean Cocteau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benefitsArtist Context triple: [La Belle et la Bête (support to Jean Cocteau), benefitsArtist, Jean Cocteau]
-
A.
featuresArtistAs
Indicates that one entity includes or presents another entity in the role of an artist (e.g., a work, event, or product featuring a specific artist).
-
B.
featuresArtistTransitionTo
Indicates a change in the featured artist on a work, marking the transition from one featured artist to another.
-
C.
featuresArtistAsRecordingArtist
Indicates that an item (such as a recording or release) includes a particular artist in the role of the recording artist.
-
D.
effectOnArtist
Indicates how one entity influences, impacts, or changes an artist’s state, work, or career.
-
E.
promotedArtist
chosen
Indicates that one entity actively supported, advertised, or advanced the career or visibility of an artist.
- F. None of above.
Provenance (3 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:14 p.m.