Triple
T37083916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Belle et la Bête (support to Jean Cocteau) |
E918230
|
entity |
| Predicate | patronRoleOf |
P135384
|
FINISHED |
| Object | Charles de Noailles |
—
|
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: Charles de Noailles | Statement: [La Belle et la Bête (support to Jean Cocteau), patronRoleOf, Charles de Noailles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patronRoleOf Context triple: [La Belle et la Bête (support to Jean Cocteau), patronRoleOf, Charles de Noailles]
-
A.
patronRole
Indicates that one entity serves as a patron, sponsor, or supporting benefactor in relation to another entity.
-
B.
patron of
Indicates a supportive relationship in which one entity provides sponsorship, protection, or backing to another, often enabling its activities or development.
-
C.
patronOfWork
chosen
Indicates that one entity financially supports or sponsors the creation, performance, or exhibition of a particular work produced by another entity.
-
D.
usedAsPatronOf
Indicates that one entity serves as a patron or sponsor for another, providing support, endorsement, or backing.
-
E.
patronType
Indicates the classification or category of a patron in relation to a service, institution, or resource.
- 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_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:14 p.m.