Triple
T4031691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brigadoon (choreography) |
E83726
|
entity |
| Predicate | premieredOnBroadway |
P46720
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Brigadoon (choreography), premieredOnBroadway, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: premieredOnBroadway Context triple: [Brigadoon (choreography), premieredOnBroadway, yes]
-
A.
originalBroadwayOpeningDate
Indicates the calendar date on which a production first opened on Broadway in its original run.
-
B.
firstBroadwayProductionTheatre
Indicates the theatre where an entity’s first Broadway production was staged.
-
C.
offBroadwayOpeningDate
Indicates the date on which a production first opened in an Off-Broadway venue.
-
D.
hasBroadwayOpeningContext
chosen
Indicates that an entity is associated with contextual details specifically about its Broadway opening (such as time, place, or circumstances of the premiere).
-
E.
firstBroadwayProductionYear
Indicates the calendar year in which an entity’s first production was staged on Broadway.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb0dbb8481909ff2ee49dadcd1dc |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.