Triple
T36113395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prométhée: Le Poème du feu, Op. 60 |
E1044556
|
entity |
| Predicate | requiresChoirText |
P193362
|
FINISHED |
| Object | wordless choir |
—
|
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: wordless choir | Statement: [Prométhée: Le Poème du feu, Op. 60, requiresChoirText, wordless choir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresChoirText Context triple: [Prométhée: Le Poème du feu, Op. 60, requiresChoirText, wordless choir]
-
A.
hasChoir
Indicates that an entity possesses, maintains, or is associated with a choir.
-
B.
hasChoralText
chosen
Indicates that a musical work includes text intended to be sung by a choir.
-
C.
usesChoirType
Indicates that one entity employs or adopts a particular type or classification of choir in its context or activity.
-
D.
requiresLyrics
Indicates that one entity must have associated song lyrics from another entity in order to be complete, valid, or usable.
-
E.
usesChorale
Indicates that one entity incorporates or employs a chorale (a hymn-like musical piece) within its structure or content.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffc7b4c7f88190b6357a44e7f0940f |
completed | May 9, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69ffc755f09c8190995ca00d97336988 |
completed | May 9, 2026, 11:46 p.m. |
Created at: May 3, 2026, 4:08 p.m.