Triple
T29722181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M.52 |
E752085
|
entity |
| Predicate | assignedToGenre |
P62560
|
FINISHED |
| Object | one-act comic opera |
—
|
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 comic opera | Statement: [M.52, assignedToGenre, one-act comic opera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assignedToGenre Context triple: [M.52, assignedToGenre, one-act comic opera]
-
A.
namedForGenre
Indicates that something is given a name based on or derived from a particular genre.
-
B.
distributesGenre
Indicates that one entity is responsible for distributing or making available works associated with a particular genre.
-
C.
associatedWithGenreElement
Indicates that something has a connection or linkage to a specific genre-related element (such as a motif, convention, or stylistic feature).
-
D.
belongsToWorkGenre
chosen
Indicates that a creative work is classified under or associated with a particular genre.
-
E.
hasGenreOfWorkItAppearsIn
Indicates that an entity is associated with the genre of the work in which it appears.
- 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_69f672fbd174819094642a594a447e47 |
completed | May 2, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:37 p.m.