Triple
T35679628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC 82 |
E1030967
|
entity |
| Predicate | fightOfTheNight |
P109609
|
FINISHED |
| Object | Anderson Silva vs. Dan Henderson |
—
|
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: Anderson Silva vs. Dan Henderson | Statement: [UFC 82, fightOfTheNight, Anderson Silva vs. Dan Henderson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fightOfTheNight Context triple: [UFC 82, fightOfTheNight, Anderson Silva vs. Dan Henderson]
-
A.
fightOfTheNightRecipients
chosen
Indicates that the related entities are recipients of a "Fight of the Night" award for a particular combat sports event.
-
B.
notableFightSeries
Indicates that there is a recurring or thematically linked series of fights or battles associated with the subject.
-
C.
nightSeriesWinner
Indicates that one entity is the winner of a particular night’s series or session in a recurring competition or event.
-
D.
GoldenGloveWinner
Indicates that the subject has been awarded the Golden Glove (or Gold Glove) honor, recognizing superior defensive performance in their sport.
-
E.
isWorldChampionshipFight
Indicates that a given fight is officially recognized as a world championship bout for a title in its sport.
- 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_69f76e0bb6608190ad3a1880be54a17d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:05 p.m.