Triple
T37373937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musette |
E927919
|
entity |
| Predicate | operaGenreOfWork |
—
|
GENERATED |
| Object | verismo |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaGenreOfWork Context triple: [Musette, operaGenreOfWork, verismo]
-
A.
operaGenre
chosen
Indicates that an opera belongs to or is categorized under a particular musical or dramatic genre.
-
B.
operaTypeOfWorkAppearsIn
Indicates that a particular type of work (e.g., aria, overture) occurs within or is featured in a specific opera.
-
C.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
D.
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).
-
E.
operaEnÁmbito
Indicates that an entity operates, functions, or carries out its activities within a specified domain, field, or scope.
- F. None of above.
Provenance (1 batch)
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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.