Triple
T25996756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benny Paret |
E646505
|
entity |
| Predicate | finalBoutResult |
P68822
|
FINISHED |
| Object | knockout loss |
—
|
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 loss | Statement: [Benny Paret, finalBoutResult, knockout loss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: finalBoutResult Context triple: [Benny Paret, finalBoutResult, knockout loss]
-
A.
finalScore
Indicates the resulting or overall score achieved after all contributing actions, events, or evaluations are completed.
-
B.
finalMatchDecidedBy
chosen
Indicates that the outcome of a final match is determined by a specific method, event, or deciding factor.
-
C.
finalMatchDetermines
Indicates that the outcome of a final match decides or establishes a particular result, status, or consequence for the related entities.
-
D.
thirdBoutResult
Indicates the outcome or result of the third bout in a sequence of competitive events or matches.
-
E.
fourthBoutResult
Indicates the outcome or result of the fourth bout in a sequence of bouts between 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 22, 2026, 8:58 a.m.