Triple
T26078609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Saigon |
E657762
|
entity |
| Predicate | originalWestEndLeadRole |
P131079
|
FINISHED |
| Object | Kim |
—
|
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: Kim | Statement: [Miss Saigon, originalWestEndLeadRole, Kim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalWestEndLeadRole Context triple: [Miss Saigon, originalWestEndLeadRole, Kim]
-
A.
originalWestEndLeadCharacter
chosen
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.
notableWestEndPortrayalBy
Indicates that a person is recognized for a significant or distinguished acting role in London’s West End associated with the subject.
-
D.
originalMaleLeadRole
Indicates that an entity was the first male actor to play a particular leading role in a work or production.
-
E.
originalLeadActorRole
Indicates the role originally played by a particular lead actor in a given production or work.
- 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_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: April 26, 2026, 7:36 p.m.