Triple
T17844190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympia |
E445612
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Joe Weider |
—
|
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: Joe Weider | Statement: [Olympia, associatedWith, Joe Weider]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Weider Context triple: [Olympia, associatedWith, Joe Weider]
-
A.
Joe Weider
chosen
Joe Weider was a pioneering bodybuilding promoter, publisher, and entrepreneur who helped popularize modern fitness culture and created the Mr. Olympia contest.
-
B.
Butch Barbella
Butch Barbella is a musician and composer best known for creating the music for the film "A Bronx Tale."
-
C.
Dorian Yates
Dorian Yates is a legendary English professional bodybuilder renowned for his massively muscular, grainy physique and six consecutive Mr. Olympia titles in the 1990s.
-
D.
Richard Simmons
Richard Simmons is an American fitness personality and motivational figure best known for his energetic workout videos, flamboyant style, and advocacy for weight loss and healthy living.
-
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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48ff980048190b496c55b83b3b318 |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:16 a.m.