Triple
T30191520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolyn McCormick |
E767497
|
entity |
| Predicate | hasPerformedOnBroadway |
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: [Carolyn McCormick, hasPerformedOnBroadway, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformedOnBroadway Context triple: [Carolyn McCormick, hasPerformedOnBroadway, true]
-
A.
hasBroadwayExperience
Indicates that an entity has participated in or worked on a Broadway production in some professional capacity.
-
B.
hadPreBroadwayProductionType
Indicates that an artistic work had a specific type or category of production run prior to its official Broadway opening.
-
C.
hasBroadwayProduction
Indicates that a work or show has been produced and staged in a Broadway theater.
-
D.
appearedInBroadwayProduction
chosen
Indicates that an entity participated as part of a Broadway stage production of another work or show.
-
E.
numberOfBroadwayPerformances
Indicates the total count of times a production or performance has been staged on Broadway.
- 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_69f2247cc3d88190811dec3face94bf5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: April 29, 2026, 7:28 p.m.