Triple
T6639226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana DeGarmo |
E150540
|
entity |
| Predicate | performedOnBroadway |
P61063
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Diana DeGarmo, performedOnBroadway, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedOnBroadway Context triple: [Diana DeGarmo, performedOnBroadway, true]
-
A.
appearedInBroadwayProduction
chosen
Indicates that an entity participated as part of a Broadway stage production of another work or show.
-
B.
hasBroadwayProduction
Indicates that a work or show has been produced and staged in a Broadway theater.
-
C.
numberOfBroadwayPerformances
Indicates the total count of times a production or performance has been staged on Broadway.
-
D.
originalBroadwayStar
Indicates that the subject was a member of the original Broadway cast in the specified role or production.
-
E.
hasBroadwayOpeningContext
Indicates that an entity is associated with contextual details specifically about its Broadway opening (such as time, place, or circumstances of the premiere).
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 2 p.m.