Triple
T22968083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC Middleweight Championship |
E571103
|
entity |
| Predicate | firstChampion |
P6585
|
FINISHED |
| Object | Dave Menne |
—
|
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: Dave Menne | Statement: [UFC Middleweight Championship, firstChampion, Dave Menne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Menne Context triple: [UFC Middleweight Championship, firstChampion, Dave Menne]
-
A.
Dave Menne
chosen
Dave Menne is an American mixed martial artist best known as a pioneering competitor in the sport and the first-ever UFC middleweight titleholder.
-
B.
Eric Muhlmann
Eric Muhlmann was an individual significant enough in his field or community to have the Maria and Eric Muhlmann Award named in his honor.
-
C.
Andrew Mittman
Andrew Mittman is a television and film producer known for his executive production work on series such as the Netflix show "Wednesday."
-
D.
Ken Finkleman
Ken Finkleman is a Canadian writer, producer, and director best known for his satirical television series "The Newsroom" and his work on various film and TV comedies.
-
E.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182301f388190bb39e3d5b356dc65 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.