Triple
T31373939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big River |
E800238
|
entity |
| Predicate | originalBroadwayOrchestrationsBy |
P62142
|
FINISHED |
| Object | Steven Margoshes |
—
|
NE NERFINISHED |
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: Steven Margoshes | Statement: [Big River, originalBroadwayOrchestrationsBy, Steven Margoshes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBroadwayOrchestrationsBy Context triple: [Big River, originalBroadwayOrchestrationsBy, Steven Margoshes]
-
A.
broadwayOriginalOrchestrator
chosen
Indicates that an entity served as the original orchestrator for a Broadway production of another work or show.
-
B.
originalBroadwayProductionTheatre
Indicates the theatre venue where a work’s original Broadway production was staged.
-
C.
numberOfBroadwayPerformances
Indicates the total count of times a production or performance has been staged on Broadway.
-
D.
orchestrationIncludes
Indicates that one orchestration contains, incorporates, or makes use of another orchestration as part of its overall structure or process.
-
E.
originalBroadwayStar
Indicates that the subject was a member of the original Broadway cast in the specified role or production.
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_6a00b6e163308190adeb1d6eb8558641 |
completed | May 10, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_6a00b67e0e388190b08ad66cee4cb0d7 |
completed | May 10, 2026, 4:46 p.m. |
Created at: April 29, 2026, 9:18 p.m.