Triple
T35905673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC Welterweight Championship |
E1038465
|
entity |
| Predicate | inauguralTitleFightLoser |
P184224
|
FINISHED |
| Object | Mikey Burnett |
—
|
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: Mikey Burnett | Statement: [UFC Welterweight Championship, inauguralTitleFightLoser, Mikey Burnett]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inauguralTitleFightLoser Context triple: [UFC Welterweight Championship, inauguralTitleFightLoser, Mikey Burnett]
-
A.
inauguralTitleFightWinner
Indicates the entity that won the very first title fight for a given championship or division.
-
B.
inauguralTitleFightDate
Indicates the date on which the first-ever title fight for a given championship or division took place.
-
C.
inauguralTitleFightYear
Indicates the year in which an entity held or participated in its first title fight.
-
D.
inauguralChampionshipMatch
Indicates the relationship in which a match is the first-ever championship contest held for a particular competition or title.
-
E.
finalBoutLoser
Indicates that an entity is the competitor who lost in the final bout of a match, tournament, or competition.
- F. None of above. chosen
Provenance (4 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_69f76e2259608190bf6788a132e0d139 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7ac2210e481909279dade5328825c |
completed | May 3, 2026, 8:12 p.m. |
Created at: May 3, 2026, 4:07 p.m.