Triple
T22912908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Facelift |
E568650
|
entity |
| Predicate | bassist |
P15279
|
FINISHED |
| Object | Mike Starr |
—
|
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: Mike Starr | Statement: [Facelift, bassist, Mike Starr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Starr Context triple: [Facelift, bassist, Mike Starr]
-
A.
Mike Starr
Mike Starr is an American character actor known for his imposing presence and frequent roles as tough guys or mobsters in films and television.
-
B.
Mike Starr
chosen
Mike Starr was an American bassist best known as the original bass player for the Seattle grunge band Alice in Chains.
-
C.
Michael Starrbury
Michael Starrbury is an American screenwriter and producer best known for his work on socially conscious film and television projects, including co-writing Ava DuVernay’s acclaimed miniseries "When They See Us."
-
D.
Ron Starr
Ron Starr is an American actor best known for his role in the classic Western film "Ride the High Country."
-
E.
Mike Stamm
Mike Stamm is an American backstroke swimmer and Olympic medalist who competed for the United States in the early 1970s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18075a0048190bd150e2badeeb7c2 |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.