Triple
T35885755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brock Lesnar vs Frank Mir |
E1037637
|
entity |
| Predicate | fighter2StyleBackground |
P166617
|
FINISHED |
| Object | Brazilian jiu-jitsu |
—
|
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: Brazilian jiu-jitsu | Statement: [Brock Lesnar vs Frank Mir, fighter2StyleBackground, Brazilian jiu-jitsu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fighter2StyleBackground Context triple: [Brock Lesnar vs Frank Mir, fighter2StyleBackground, Brazilian jiu-jitsu]
-
A.
fighter2Background
chosen
Indicates that the second fighter in a matchup has a particular background, such as their fighting style, training, or origin.
-
B.
fighter1Background
Indicates that one entity is the background, history, or contextual information associated with the first fighter in a matchup or comparison.
-
C.
fighter2Style
Indicates the fighting style or combat approach used by the second fighter in a matchup or interaction.
-
D.
fighter1Style
Indicates the fighting style or combat approach used by the first fighter in a matchup or comparison.
-
E.
fighter2
Indicates that the subject is the second participant (opponent) in a fighting or combat relationship or event.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:06 p.m.