Triple
T31274122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huit Poèmes de Jean Cocteau |
E797470
|
entity |
| Predicate | usesPoemsBy |
P32365
|
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: [Huit Poèmes de Jean Cocteau, usesPoemsBy, Jean Cocteau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPoemsBy Context triple: [Huit Poèmes de Jean Cocteau, usesPoemsBy, Jean Cocteau]
-
A.
usedByPoet
Indicates that something (such as a word, style, device, or object) is employed or utilized by a poet.
-
B.
usesPoetryCollection
Indicates that one entity employs or makes use of a poetry collection in performing an action, fulfilling a function, or supporting some activity or process.
-
C.
usesPoeticProgram
Indicates that one entity employs or applies a poetic program—such as a structured, rule-based, or stylistically poetic system—in relation to another entity or context.
-
D.
containsPoemsFrom
Indicates that one entity includes or features poems that originate from or are authored in association with another entity.
-
E.
containsPoemsBy
chosen
Indicates that one entity (such as a collection or publication) includes poems authored by another entity.
- 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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 29, 2026, 9:13 p.m.