Triple
T29721994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire (L’enfant et les sortilèges) |
E752077
|
entity |
| Predicate | operaActs |
P164243
|
FINISHED |
| Object | one-act work |
—
|
LITERAL 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: one-act work | Statement: [Fire (L’enfant et les sortilèges), operaActs, one-act work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaActs Context triple: [Fire (L’enfant et les sortilèges), operaActs, one-act work]
-
A.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
B.
inOperaRepertoire
Indicates that a musical work is included as part of the standard or active repertoire performed in opera productions.
-
C.
associatedOpera
Indicates that there is a relationship linking an entity to an opera with which it is connected or related (e.g., as subject, inspiration, or context).
-
D.
operaActRole
Indicates the role or character that a performer portrays in a specific act of an opera.
-
E.
actCountInOpera
chosen
Indicates the number of acts that occur within a given opera.
- 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_69ff21cbd9108190a52c0ba42004c669 |
completed | May 9, 2026, noon |
| PD | Predicate disambiguation | batch_69ff1faea91881908c626c70bca5100a |
completed | May 9, 2026, 11:51 a.m. |
Created at: April 28, 2026, 7:37 p.m.