Triple
T6849539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azumah Nelson |
E157979
|
entity |
| Predicate | resultAgainstJeffFenech |
P18497
|
FINISHED |
| Object | won WBC super featherweight title in rematch |
—
|
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: won WBC super featherweight title in rematch | Statement: [Azumah Nelson, resultAgainstJeffFenech, won WBC super featherweight title in rematch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultAgainstJeffFenech Context triple: [Azumah Nelson, resultAgainstJeffFenech, won WBC super featherweight title in rematch]
-
A.
defeatedBy
Indicates that one entity has been beaten, overcome, or conquered by another in a contest, conflict, or competition.
-
B.
finalOpponentTeam
Indicates the team that serves as the last or ultimate opposing team faced in a competition, series, or event.
-
C.
facedOpponent
chosen
Indicates that one entity directly confronted or competed against another as an opponent in a contest, conflict, or challenge.
-
D.
finalBoutLoser
Indicates that an entity is the competitor who lost in the final bout of a match, tournament, or competition.
-
E.
opponentFinalScore
Indicates the final score achieved by an opposing participant or team in a contest or game.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d84acb288190a67d974197ecab2f |
completed | March 27, 2026, 7:19 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.