Triple
T5695868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Can-Can |
E125536
|
entity |
| Predicate | broadwayOriginalProductionType |
P54466
|
FINISHED |
| Object | musical comedy |
—
|
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: musical comedy | Statement: [Can-Can, broadwayOriginalProductionType, musical comedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadwayOriginalProductionType Context triple: [Can-Can, broadwayOriginalProductionType, musical comedy]
-
A.
firstBroadwayProductionTheatre
Indicates the theatre where an entity’s first Broadway production was staged.
-
B.
broadwayOriginalLanguage
Indicates the original language in which a Broadway production was first written or performed.
-
C.
hasBroadwayProduction
Indicates that a work or show has been produced and staged in a Broadway theater.
-
D.
appearedInBroadwayProduction
Indicates that an entity participated as part of a Broadway stage production of another work or show.
-
E.
broadwayRunType
chosen
Indicates the nature or category of a production’s run on Broadway (for example, original run, revival, limited engagement, or tour transfer).
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:45 p.m.