Triple
T30785927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 国立文楽劇場 |
E783954
|
entity |
| Predicate | 主な上演ジャンル |
P41553
|
FINISHED |
| Object | 文楽 |
—
|
NE NERFINISHED |
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: 文楽 | Statement: [国立文楽劇場, 主な上演ジャンル, 文楽]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主な上演ジャンル Context triple: [国立文楽劇場, 主な上演ジャンル, 文楽]
-
A.
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.
-
B.
theatricalProductionType
Indicates the specific kind or category of a theatrical production (such as play, musical, opera, etc.) that characterizes the relationship.
-
C.
theatricalGenre
chosen
Indicates the specific theatrical genre or style to which a performance, play, or production belongs.
-
D.
theatreType
Indicates the specific category or kind of theatre associated with an entity, such as its format, style, or operational model.
-
E.
musicalTheatreType
Indicates the specific category or style of musical theatre to which a work, production, or performance belongs.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f690097c9c81909858e7d8c15474da |
completed | May 3, 2026, midnight |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:41 p.m.