Triple
T35584702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Lucasta |
E1028315
|
entity |
| Predicate | firstBroadwayProductionPlace |
—
|
GENERATED |
| Object | New York City |
—
|
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: firstBroadwayProductionPlace Context triple: [Anna Lucasta, firstBroadwayProductionPlace, New York City]
-
A.
firstBroadwayProductionTheatre
Indicates the theatre where an entity’s first Broadway production was staged.
-
B.
originalBroadwayCity
chosen
Indicates the city where a theatrical production first opened on Broadway.
-
C.
broadwayLocation
Indicates that an entity is located on, near, or associated with Broadway (typically the Broadway theater district or street).
-
D.
firstBroadwayOrOffBroadwayRun
Indicates the production in which a work or performer had their first run on Broadway or Off-Broadway.
-
E.
offBroadwayPremiereLocation
Indicates the venue or place where a theatrical work had its first Off-Broadway performance.
- 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_69f76e0495a081909beced418558c0b4 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.