Triple
T37083906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Belle et la Bête (support to Jean Cocteau) |
E918230
|
entity |
| Predicate | supportsDirector |
P205718
|
FINISHED |
| Object | Jean Cocteau |
E189256
|
NE 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: Jean Cocteau | Statement: [La Belle et la Bête (support to Jean Cocteau), supportsDirector, Jean Cocteau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsDirector Context triple: [La Belle et la Bête (support to Jean Cocteau), supportsDirector, Jean Cocteau]
-
A.
supportsDirective
Indicates that one entity upholds, endorses, or helps implement a directive issued by another entity.
-
B.
supportsRole
Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to perform or occupy a specific role.
-
C.
supportedLeader
Indicates that one entity actively backed, endorsed, or provided assistance to a particular leader.
-
D.
supportedActor
Indicates that one entity provided assistance, resources, or endorsement to another entity (the supported actor).
-
E.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
- F. None of above. chosen
Provenance (5 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_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3f6a0af49481908c7f858a0738311e |
completed | June 27, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:14 p.m.