Triple
T36145321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy's View |
E1045430
|
entity |
| Predicate | hasNotableBroadwayRun |
—
|
GENERATED |
| Object | yes |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableBroadwayRun Context triple: [Amy's View, hasNotableBroadwayRun, yes]
-
A.
hasBroadwayProduction
chosen
Indicates that a work or show has been produced and staged in a Broadway theater.
-
B.
hadPreBroadwayProductionType
Indicates that an artistic work had a specific type or category of production run prior to its official Broadway opening.
-
C.
appearedInBroadwayProduction
Indicates that an entity participated as part of a Broadway stage production of another work or show.
-
D.
hasBroadwayOpeningContext
Indicates that an entity is associated with contextual details specifically about its Broadway opening (such as time, place, or circumstances of the premiere).
-
E.
hasBroadwayTitle
Indicates that an entity is associated with a specific title used for its Broadway production or representation.
- F. None of above.
Provenance (1 batch)
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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.