Triple
T37947990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago (musical) |
E946660
|
entity |
| Predicate | originalBroadwayRoxieHartActor |
—
|
GENERATED |
| Object | Gwen Verdon |
—
|
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: originalBroadwayRoxieHartActor Context triple: [Chicago (musical), originalBroadwayRoxieHartActor, Gwen Verdon]
-
A.
originalBroadwayDaveyActor
Indicates that the subject is the actor who played the role of Davey in the original Broadway production.
-
B.
portrayedInBroadwayProductionBy
Indicates that an entity was depicted or performed in a Broadway stage production by a specified person or group.
-
C.
originalBroadwayStar
chosen
Indicates that the subject was a member of the original Broadway cast in the specified role or production.
-
D.
originalBroadwayCoStar
Indicates that two performers appeared together as co-stars in the original Broadway production of the same show.
-
E.
originalBroadwayCaptainActor
Indicates that the subject is the actor who originally played the role of the ship’s captain in a Broadway production.
- 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_69f76ef64cf08190ad3e1114b62aac67 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.