Triple
T29721960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire (L’enfant et les sortilèges) |
E752077
|
entity |
| Predicate | createdByLibrettist |
P150849
|
FINISHED |
| Object | Colette |
—
|
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: Colette | Statement: [Fire (L’enfant et les sortilèges), createdByLibrettist, Colette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdByLibrettist Context triple: [Fire (L’enfant et les sortilèges), createdByLibrettist, Colette]
-
A.
principalLibrettist
chosen
Indicates that one entity serves as the main librettist responsible for writing the text of a musical or operatic work for another entity.
-
B.
commissionedWorkLibrettist
Indicates that a person served as the librettist (text author) for a work that was specifically commissioned.
-
C.
librettistOfParentWork
Indicates that one entity is the librettist who wrote the text (libretto) for the parent work associated with another entity.
-
D.
coAuthorOfLibrettoWith
Indicates that two or more individuals collaborated in writing the same libretto.
-
E.
basedOnWorkLibrettist
Indicates that one work is based on another work specifically in terms of its libretto, identifying the source work whose libretto served as the basis.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd91a5dad8819093eeeef527027890 |
completed | May 8, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69fd8f65fe9081908902500a3228d935 |
completed | May 8, 2026, 7:23 a.m. |
Created at: April 28, 2026, 7:37 p.m.