Triple
T24021863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Cerrone |
E594843
|
entity |
| Predicate | hasWinByMethod |
P151809
|
FINISHED |
| Object | knockout |
—
|
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: knockout | Statement: [Donald Cerrone, hasWinByMethod, knockout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWinByMethod Context triple: [Donald Cerrone, hasWinByMethod, knockout]
-
A.
hasWinningScore
Indicates that one entity possesses a score that is sufficient to win in a given competition, game, or scoring context.
-
B.
hasWinnerType
Indicates that an entity has a specific type or category of winner associated with it.
-
C.
wonBy
Indicates that a contest, game, or competition is decided in favor of a particular participant or side.
-
D.
hasWonSeries
Indicates that one entity has achieved overall victory in a multi-game or multi-event series against another entity.
-
E.
mmaWinMethod
chosen
Indicates the method or manner by which a fighter wins an MMA bout (e.g., knockout, submission, decision).
- F. None of above.
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_69e288be2c288190a3a46006945557f7 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d7667ff08190bfd14aa4eb776f21 |
completed | April 29, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:51 p.m.