Triple
T37563947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Doctor |
E933900
|
entity |
| Predicate | originalProductionTheatreDistrict |
—
|
GENERATED |
| Object | Broadway theatre district |
—
|
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: originalProductionTheatreDistrict Context triple: [The Good Doctor, originalProductionTheatreDistrict, Broadway theatre district]
-
A.
originalBroadwayProductionTheatre
Indicates the theatre venue where a work’s original Broadway production was staged.
-
B.
basedOnTheatreProductionLocation
Indicates that something is derived from, adapted from, or otherwise grounded in a theatre production that took place at a specific location.
-
C.
originalTheatreOfPremiere
Indicates the theatre where a work was first premiered or originally performed.
-
D.
firstBroadwayProductionTheatre
Indicates the theatre where an entity’s first Broadway production was staged.
-
E.
theaterDistrict
chosen
Indicates that a location is situated within or associated with a designated theater district.
- 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_69f76ecb4acc8190b53f96d0b013e415 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.