Triple
T26078608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Saigon |
E657762
|
entity |
| Predicate | originalWestEndLeadPerformer |
P60533
|
FINISHED |
| Object | Lea Salonga |
—
|
NE NERFINISHED |
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: Lea Salonga | Statement: [Miss Saigon, originalWestEndLeadPerformer, Lea Salonga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWestEndLeadPerformer Context triple: [Miss Saigon, originalWestEndLeadPerformer, Lea Salonga]
-
A.
originalWestEndLeadCharacter
Indicates that a person was the first actor to play a specific lead character in the original West End production of a show.
-
B.
originalWestEndDirector
Indicates that the subject served as the director of the original West End production of the referenced work.
-
C.
originalWestEndEvaPerformer
chosen
Indicates that the subject was the performer who originally played the role of Eva in the West End production.
-
D.
broadwayLeadActor
Indicates that the subject is the principal or starring actor in a Broadway production associated with the object.
-
E.
notableWestEndPortrayalBy
Indicates that a person is recognized for a significant or distinguished acting role in London’s West End associated with the subject.
- 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: April 26, 2026, 7:36 p.m.