Triple
T35885809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Henderson vs Michael Bisping |
E1037638
|
entity |
| Predicate | finishNickname |
P184912
|
FINISHED |
| Object | H-Bomb knockout |
—
|
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: H-Bomb knockout | Statement: [Dan Henderson vs Michael Bisping, finishNickname, H-Bomb knockout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finishNickname Context triple: [Dan Henderson vs Michael Bisping, finishNickname, H-Bomb knockout]
-
A.
finalNickname
Indicates that one entity is the ultimate or officially established nickname assigned to another entity.
-
B.
changedNicknameTo
Indicates that an entity has altered another entity’s nickname to a specified new nickname.
-
C.
nameFinal
Indicates that this is the final or definitive name assigned to an entity, as opposed to a temporary, intermediate, or previous name.
-
D.
endName
Indicates that one entity serves as the ending or final name/designation associated with another entity.
-
E.
setNickname
Indicates assigning or updating a nickname value for an entity.
- 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_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: May 3, 2026, 4:06 p.m.