Triple
T22917778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC Hall of Fame |
E568778
|
entity |
| Predicate | notableInductee |
P7102
|
FINISHED |
| Object | Forrest Griffin |
—
|
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: Forrest Griffin | Statement: [UFC Hall of Fame, notableInductee, Forrest Griffin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forrest Griffin Context triple: [UFC Hall of Fame, notableInductee, Forrest Griffin]
-
A.
Forrest Griffin
chosen
Forrest Griffin is a retired American mixed martial artist and former UFC Light Heavyweight Champion best known for his pivotal role in popularizing the UFC through his bouts on and after The Ultimate Fighter.
-
B.
Randy Couture
Randy Couture is an American mixed martial artist and actor, best known as a multi-time UFC champion and a prominent figure in the sport’s early mainstream popularity.
-
C.
Dane Forrest
Dane Forrest is a musician best known as a member of the pop-rock band Selena Gomez & the Scene.
-
D.
Josh Crockett
Josh Crockett is a film editor best known for his work on the 2018 comedy film "Tag."
-
E.
Kevin Lee
Kevin Lee is a television producer best known for his executive production work on reality series such as "The Real World Homecoming."
- 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_69f1807b254c8190bb84596dcacaa35e |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.