Triple
T18335771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Scott |
E439265
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Larry Scott Fitness & Nutrition |
—
|
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 Scott Fitness & Nutrition | Statement: [Larry Scott, founded, Larry Scott Fitness & Nutrition]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Scott Fitness & Nutrition Context triple: [Larry Scott, founded, Larry Scott Fitness & Nutrition]
-
A.
Herb Gains
Herb Gains is a film producer known for his work on the dystopian action movie "The Reaping."
-
B.
Larry Scott
chosen
Larry Scott was an American professional bodybuilder best known as the first-ever Mr. Olympia champion and a pioneering icon in the sport.
-
C.
Larry Scott
Larry Scott is an American sports executive best known for serving as the commissioner of the Pac-12 Conference.
-
D.
Butch Barbella
Butch Barbella is a musician and composer best known for creating the music for the film "A Bronx Tale."
-
E.
Richard Alan Simmons
Richard Alan Simmons was an American screenwriter known for his work in mid-20th-century film and television, including notable science fiction adaptations.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecd759481909703ed2d0d68199f |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:37 a.m.