Triple
T35905726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC 101 |
E1038466
|
entity |
| Predicate | winnerOfSilvaGriffinBout |
P189751
|
FINISHED |
| Object | Anderson Silva |
—
|
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 | Statement: [UFC 101, winnerOfSilvaGriffinBout, Anderson Silva]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerOfSilvaGriffinBout Context triple: [UFC 101, winnerOfSilvaGriffinBout, Anderson Silva]
-
A.
loserOfSilvaGriffinBout
Indicates the person who was defeated in the Silva vs. Griffin bout.
-
B.
inauguralTitleFightWinner
Indicates the entity that won the very first title fight for a given championship or division.
-
C.
inauguralTitleFightLoser
Indicates the person who lost the very first title fight for a given championship or division.
-
D.
winningBoxer
Indicates that one boxer has defeated another in a boxing match and is recognized as the winner.
-
E.
wonTheUltimateFighterAs
Indicates that an individual won a season of The Ultimate Fighter competition while competing in a specified weight class or role.
- 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_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc9d0854c8190aa00093274afebb8 |
completed | May 6, 2026, 11:08 p.m. |
Created at: May 3, 2026, 4:07 p.m.