Triple
T35673089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brock Lesnar vs. Randy Couture |
E1030777
|
entity |
| Predicate | fighter1Background |
P183600
|
FINISHED |
| Object | former WWE professional wrestler |
—
|
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: former WWE professional wrestler | Statement: [Brock Lesnar vs. Randy Couture, fighter1Background, former WWE professional wrestler]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fighter1Background Context triple: [Brock Lesnar vs. Randy Couture, fighter1Background, former WWE professional wrestler]
-
A.
fighter2Background
Indicates that the second fighter in a matchup has a particular background, such as their fighting style, training, or origin.
-
B.
fighter1
Indicates that the subject is the first participant or primary combatant in a fight or competitive physical confrontation.
-
C.
fighter1Name
Indicates the name assigned to the first fighter in a fighting or competitive context.
-
D.
fighter2
Indicates that the subject is the second participant (opponent) in a fighting or combat relationship or event.
-
E.
fighter1Nationality
Indicates the national origin or citizenship of the first fighter in a matchup or comparison.
- 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_69f7a01efcc08190bba489a9099b8684 |
completed | May 3, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
| PDg | Predicate description generation | batch_69f79f477c4c8190a35cb6d87b1dcbd1 |
completed | May 3, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:05 p.m.