Triple
T30137219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Norton vs. Larry Holmes |
E766026
|
entity |
| Predicate | roundScoringSystem |
P79635
|
FINISHED |
| Object | 10-point must system |
—
|
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: 10-point must system | Statement: [Ken Norton vs. Larry Holmes, roundScoringSystem, 10-point must system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roundScoringSystem Context triple: [Ken Norton vs. Larry Holmes, roundScoringSystem, 10-point must system]
-
A.
scoringType
Indicates the method or criteria by which performance, outcomes, or results are evaluated and assigned a score in a given context.
-
B.
roundOf
Indicates that one event, match, or game occurs as a specific stage or phase within a larger competition or tournament.
-
C.
divisionalRoundScore
Indicates the score an entity achieved in the divisional round of a competition or playoff series.
-
D.
hasScoreSystem
chosen
Indicates that an entity uses, is governed by, or is associated with a particular scoring or rating system.
-
E.
roundCount
Indicates the number of discrete rounds or iterations that have occurred or are allocated within a process, event, or interaction.
- 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_69f2247909048190ae86c2160cf8b566 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67e4d0eec8190a25a9f6d74516857 |
completed | May 2, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:16 p.m.