Triple
T35673106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brock Lesnar vs. Randy Couture |
E1030777
|
entity |
| Predicate | fighter1UFCRecordAtTime |
P184439
|
FINISHED |
| Object | 1-1 in UFC before the bout |
—
|
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: 1-1 in UFC before the bout | Statement: [Brock Lesnar vs. Randy Couture, fighter1UFCRecordAtTime, 1-1 in UFC before the bout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fighter1UFCRecordAtTime Context triple: [Brock Lesnar vs. Randy Couture, fighter1UFCRecordAtTime, 1-1 in UFC before the bout]
-
A.
UFCDebutDate
Indicates the date on which an entity (typically a fighter) first competed in a UFC event.
-
B.
UFCDebutYear
Indicates the year in which an entity first appeared or made its debut in the UFC.
-
C.
UFCWinStreak
Indicates a relationship where a UFC fighter has achieved a consecutive series of wins in UFC bouts without a loss interrupting the sequence.
-
D.
UFCDebutOpponent
Indicates the opponent a fighter faced in their first UFC bout.
-
E.
producedUFCChampion
Indicates that one entity (such as a gym, team, or country) has been the origin or training base of an individual who became a UFC champion.
- 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7b0e3917481908a394680d76743c3 |
completed | May 3, 2026, 8:32 p.m. |
Created at: May 3, 2026, 4:05 p.m.