Triple
T30137199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Norton vs. Larry Holmes |
E766026
|
entity |
| Predicate | knockdowns |
P101797
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Ken Norton vs. Larry Holmes, knockdowns, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knockdowns Context triple: [Ken Norton vs. Larry Holmes, knockdowns, 0]
-
A.
roundOfKnockdown
Indicates the specific round in which a knockdown event occurs during a fight or match.
-
B.
knockoutNature
Indicates that one entity causes another to be eliminated, disabled, or rendered nonfunctional, typically in a decisive or forceful manner.
-
C.
numberOfKnockdowns
chosen
Indicates the count of times an entity has been knocked down during a specified event or interaction.
-
D.
cutDown
Indicates that an agent causes something standing or elevated (such as a tree or structure) to fall or be reduced by cutting.
-
E.
turnsDown
Indicates that one entity rejects, refuses, or declines an offer, request, or proposal made by another entity.
- 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.