Triple
T1921714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Springsteen on Broadway |
E40138
|
entity |
| Predicate | numberOfPerformances |
P25301
|
FINISHED |
| Object | 236 |
—
|
LITERAL FINISHED |
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: 236 | Statement: [Springsteen on Broadway, numberOfPerformances, 236]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPerformances Context triple: [Springsteen on Broadway, numberOfPerformances, 236]
-
A.
numberOfBroadwayPerformances
chosen
Indicates the total count of times a production or performance has been staged on Broadway.
-
B.
annualPerformances
Indicates that performances or events occur on a yearly or once-per-year basis.
-
C.
numberOfActs
Indicates the total count of discrete acts or actions associated with a given entity or event.
-
D.
originalPerformanceFor
Indicates that one entity is the original performance or execution from which another related version, recording, or representation is derived.
-
E.
performsMusicIn
Indicates that an entity presents or plays music within a particular venue, event, or context.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb233011881908736523d36f01b0c |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafed2ab481908920334e77b1021b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.