Triple
T21876445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Something’s Coming |
E540155
|
entity |
| Predicate | originalPerformer |
P11499
|
FINISHED |
| Object | Larry Kert |
—
|
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: Larry Kert | Statement: [Something’s Coming, originalPerformer, Larry Kert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Kert Context triple: [Something’s Coming, originalPerformer, Larry Kert]
-
A.
Larry Kert
chosen
Larry Kert was an American actor and singer best known for originating the role of Tony in the original Broadway production of "West Side Story."
-
B.
Marty Kaan
Marty Kaan is the fast-talking, morally flexible management consultant protagonist of the television series "House of Lies."
-
C.
Larry Dierker
Larry Dierker is a former Major League Baseball pitcher and manager best known for his long and influential career with the Houston Astros.
-
D.
Billy Gilbert
Billy Gilbert was an American character actor and comedian best known for his expressive voice, comic sneezes, and memorable roles in classic Hollywood films of the 1930s and 1940s.
-
E.
Gil Doud
Gil Doud was an American screenwriter best known for his work on mid-20th-century Hollywood films, particularly war and action dramas.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33a4e608190bd25bfa3fb5cac10 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:02 p.m.