Triple
T4441329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arnold Sports Festival |
E95776
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Arnold Classic |
E95776
|
NE FINISHED |
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: Arnold Classic | Statement: [Arnold Sports Festival, formerName, Arnold Classic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arnold Classic Context triple: [Arnold Sports Festival, formerName, Arnold Classic]
-
A.
Mr. Olympia
Mr. Olympia is the premier annual professional bodybuilding competition that crowns the world’s top male bodybuilder.
-
B.
Arnold Sports Festival
chosen
The Arnold Sports Festival is one of the world’s largest multi-sport and fitness events, featuring bodybuilding, strength sports, and a wide range of athletic competitions and expos.
-
C.
Mr. Universe contest
The Mr. Universe contest is an international bodybuilding competition that showcases top physique athletes from around the world and has historically helped launch the careers of several famous figures.
-
D.
Ms. Olympia
Ms. Olympia is the premier professional women’s bodybuilding competition, regarded as the highest title in female bodybuilding.
-
E.
Mr. Universe
Mr. Universe is a stand-up comedy special by Jim Gaffigan known for his observational humor and family-friendly, self-deprecating style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ad71588190b1dcad4250472c29 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6281264f08190942d2043495c89d5 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:32 p.m.