Triple
T2683782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Holmes vs. Gerry Cooney |
E57433
|
entity |
| Predicate | fighter1RacePortrayal |
P40100
|
FINISHED |
| Object | Black |
—
|
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: Black | Statement: [Larry Holmes vs. Gerry Cooney, fighter1RacePortrayal, Black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fighter1RacePortrayal Context triple: [Larry Holmes vs. Gerry Cooney, fighter1RacePortrayal, Black]
-
A.
fighter1
chosen
Indicates that the subject is the first participant or primary combatant in a fight or competitive physical confrontation.
-
B.
fighter2
Indicates that the subject is the second participant (opponent) in a fighting or combat relationship or event.
-
C.
mainFighterAircraft
Indicates that an aircraft serves as the primary fighter aircraft for a given country, organization, or military force.
-
D.
primaryFighterModel
Indicates that one entity is the main or standard fighter aircraft model associated with another entity (such as a country, air force, or military unit).
-
E.
primaryGermanFighterAircraft
Indicates that the subject is the main or principal fighter aircraft used by Germany in a given context or time period.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d7692c81909d8fd9ce3817161b |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.