Triple
T5448678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anything Goes |
E122312
|
entity |
| Predicate | originalBroadwayRunPerformances |
P25301
|
FINISHED |
| Object | 420 |
—
|
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: 420 | Statement: [Anything Goes, originalBroadwayRunPerformances, 420]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalBroadwayRunPerformances Context triple: [Anything Goes, originalBroadwayRunPerformances, 420]
-
A.
numberOfBroadwayPerformances
chosen
Indicates the total count of times a production or performance has been staged on Broadway.
-
B.
originalBroadwayRunLength
Indicates the duration of time that a production’s initial run on Broadway lasted.
-
C.
appearedInBroadwayProduction
Indicates that an entity participated as part of a Broadway stage production of another work or show.
-
D.
broadwayRunStatus
Indicates the status of a production’s run on Broadway, such as whether it is upcoming, currently running, or has closed.
-
E.
hasBroadwayProduction
Indicates that a work or show has been produced and staged in a Broadway theater.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd95be329c81908783420cf81b6af5 |
completed | March 20, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69bd919e8d18819098c4af6a015e5cc2 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:07 p.m.