Triple
T38238072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My White Knight |
E1013677
|
entity |
| Predicate | originalBroadwayStarAssociated |
—
|
GENERATED |
| Object | Barbara Cook |
—
|
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: originalBroadwayStarAssociated Context triple: [My White Knight, originalBroadwayStarAssociated, Barbara Cook]
-
A.
originalBroadwayStar
chosen
Indicates that the subject was a member of the original Broadway cast in the specified role or production.
-
B.
originalBroadwayCoStar
Indicates that two performers appeared together as co-stars in the original Broadway production of the same show.
-
C.
notableBroadwayPerformer
Indicates that the subject is a performer who has achieved notable recognition for work on Broadway productions.
-
D.
BroadwayDebutWith
Indicates that one entity made their first appearance on Broadway in a production involving the other entity.
-
E.
portrayedInBroadwayProductionBy
Indicates that an entity was depicted or performed in a Broadway stage production by a specified person or group.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.