Triple
T35885789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Henderson vs Michael Bisping |
E1037638
|
entity |
| Predicate | BispingCorner |
P183946
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [Dan Henderson vs Michael Bisping, BispingCorner, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BispingCorner Context triple: [Dan Henderson vs Michael Bisping, BispingCorner, blue]
-
A.
Leon Edwards
Indicates a relationship or context specifically involving Leon Edwards, such as actions performed by him, events centered on him, or associations in which he is a key participant.
-
B.
winningBoxer
Indicates that one boxer has defeated another in a boxing match and is recognized as the winner.
-
C.
losingBoxer
Indicates that the subject is the boxer who is defeated or on the losing side in a boxing match.
-
D.
boxingOrganization
Indicates that an entity functions as an organizing or sanctioning body responsible for governing, promoting, or regulating the sport of boxing.
-
E.
lastProfessionalFightDate
Indicates the calendar date on which an entity most recently participated in a professional fight.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa33e0488190a135166bb67e1118 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.