Triple
T30102695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Norton vs. Muhammad Ali II |
E765040
|
entity |
| Predicate | scorecardJudge3 |
P15617
|
FINISHED |
| Object | 7–5 Norton |
—
|
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: 7–5 Norton | Statement: [Ken Norton vs. Muhammad Ali II, scorecardJudge3, 7–5 Norton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scorecardJudge3 Context triple: [Ken Norton vs. Muhammad Ali II, scorecardJudge3, 7–5 Norton]
-
A.
scoreMeaning_3
Indicates a specific interpretation or significance associated with a particular score or scoring outcome.
-
B.
isScoreFor
chosen
Indicates that one value represents the score or result associated with a particular entity, event, or performance.
-
C.
scoreAssignment
Indicates evaluating and assigning a grade or numerical score to an assignment.
-
D.
scoring
Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
-
E.
scoreScale
Indicates the scale or range on which a score or rating is expressed or measured.
- 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_69f22474e4288190b5f895fe3974aa92 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67d96e9288190ae7ec29f4752505c |
completed | May 2, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:08 p.m.