Triple
T35549461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lysistrata Jones |
E1027312
|
entity |
| Predicate | broadwayPerformancesNumber |
P25301
|
FINISHED |
| Object | 30 |
—
|
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: 30 | Statement: [Lysistrata Jones, broadwayPerformancesNumber, 30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadwayPerformancesNumber Context triple: [Lysistrata Jones, broadwayPerformancesNumber, 30]
-
A.
numberOfBroadwayPerformances
chosen
Indicates the total count of times a production or performance has been staged on Broadway.
-
B.
numberOfWestEndPerformances
Indicates the total count of performances of a production that took place in London’s West End.
-
C.
hasBroadwayProduction
Indicates that a work or show has been produced and staged in a Broadway theater.
-
D.
appearedInBroadwayProduction
Indicates that an entity participated as part of a Broadway stage production of another work or show.
-
E.
broadwayMusicalNumber
Indicates that one entity is a specific musical number (song or performance piece) that appears within a Broadway musical production represented by the other entity.
- 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_69f76e014fd481909e9f04ac603a2aa9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:04 p.m.