Triple
T14365283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phyllis Love |
E356214
|
entity |
| Predicate | workedOnBroadway |
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: [Phyllis Love, workedOnBroadway, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workedOnBroadway Context triple: [Phyllis Love, workedOnBroadway, true]
-
A.
appearedInBroadwayProduction
chosen
Indicates that an entity participated as part of a Broadway stage production of another work or show.
-
B.
producedOnBroadwayBy
Indicates that a theatrical production was staged on Broadway under the responsibility or auspices of a specific producer or producing entity.
-
C.
hasBroadwayProduction
Indicates that a work or show has been produced and staged in a Broadway theater.
-
D.
portrayedInBroadwayProductionBy
Indicates that an entity was depicted or performed in a Broadway stage production by a specified person or group.
-
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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:15 a.m.