Triple
T29799952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Ashton |
E756663
|
entity |
| Predicate | inspiredOperaGenre |
P40291
|
FINISHED |
| Object | bel canto |
—
|
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: bel canto | Statement: [Lucy Ashton, inspiredOperaGenre, bel canto]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredOperaGenre Context triple: [Lucy Ashton, inspiredOperaGenre, bel canto]
-
A.
operaGenre
Indicates that an opera belongs to or is categorized under a particular musical or dramatic genre.
-
B.
tipoDiOpera
Indicates that one entity is classified as a specific type or category of work (e.g., artwork, project, or production) in relation to another entity.
-
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.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
E.
genreOfInspiration
chosen
Indicates that one entity serves as the inspirational genre or stylistic source for the creation, style, or classification of another entity.
- 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_69f22454583081908927516cb9938d1d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 29, 2026, 5:17 p.m.