Triple
T26610408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerard Gordeau |
E667902
|
entity |
| Predicate | UFC1QuarterFinalWinMethod |
P161048
|
FINISHED |
| Object | TKO (doctor stoppage) |
—
|
LITERAL 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: TKO (doctor stoppage) | Statement: [Gerard Gordeau, UFC1QuarterFinalWinMethod, TKO (doctor stoppage)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UFC1QuarterFinalWinMethod Context triple: [Gerard Gordeau, UFC1QuarterFinalWinMethod, TKO (doctor stoppage)]
-
A.
UFC1Result
Indicates the outcome or result associated with a specific UFC 1 fight or competitor.
-
B.
methodOfFirstUFCWelterweightTitleWin
Indicates the specific method or way in which a fighter achieved victory to become the first UFC welterweight champion.
-
C.
UFCDebutResult
Indicates the outcome of a fighter’s first bout in the UFC, specifying how that debut fight concluded.
-
D.
UFC1SemiFinalOpponent
Indicates that one entity is the opponent faced by the other entity in a UFC 1 semifinal match.
-
E.
UFCChampionship
Indicates that an entity holds or has held a championship title in the Ultimate Fighting Championship (UFC) organization.
- 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_69ee9cfd20348190bb1255d2603efb7a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615a87a5881908a96dcc673adc3b5 |
completed | May 2, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 2:16 a.m.