Triple
T37373937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musette |
E927919
|
entity |
| Predicate | operaGenreOfWork |
P80490
|
FINISHED |
| Object | verismo |
—
|
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: verismo | Statement: [Musette, operaGenreOfWork, verismo]
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 (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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a02f847b9848190a9fedbc411ae0918 |
completed | May 12, 2026, 9:52 a.m. |
| PD | Predicate disambiguation | batch_6a02f556860c8190b2995433fa05fdd0 |
completed | May 12, 2026, 9:39 a.m. |
Created at: May 3, 2026, 4:16 p.m.