Triple
T16262255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior dos Santos |
E394781
|
entity |
| Predicate | methodOfManyWins |
P44055
|
FINISHED |
| Object | 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: knockout | Statement: [Junior dos Santos, methodOfManyWins, knockout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfManyWins Context triple: [Junior dos Santos, methodOfManyWins, knockout]
-
A.
numberOfWins
Indicates the count of times an entity has achieved victory in a relevant context or competition.
-
B.
methodOfDefeat
chosen
Indicates the specific way or technique by which one entity defeats or overcomes another.
-
C.
numberOfOpponentsBeaten
Indicates the count of distinct opponents that an entity has successfully defeated.
-
D.
wonAt
Indicates that one entity achieved victory or success in a specific event, competition, or context.
-
E.
mostOverallWinsHolder
Indicates that the subject is the entity holding the highest total number of wins overall, compared to all other relevant entities.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c5583c8190901e892238cf8dbd |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.