Triple
T2683781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Holmes vs. Gerry Cooney |
E57433
|
entity |
| Predicate | fighter2Nationality |
P40101
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Larry Holmes vs. Gerry Cooney, fighter2Nationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fighter2Nationality Context triple: [Larry Holmes vs. Gerry Cooney, fighter2Nationality, American]
-
A.
fighter2
chosen
Indicates that the subject is the second participant (opponent) in a fighting or combat relationship or event.
-
B.
fighter1
Indicates that the subject is the first participant or primary combatant in a fight or competitive physical confrontation.
-
C.
mainFighterAircraft
Indicates that an aircraft serves as the primary fighter aircraft for a given country, organization, or military force.
-
D.
primaryGermanFighterAircraft
Indicates that the subject is the main or principal fighter aircraft used by Germany in a given context or time period.
-
E.
developedAircraft
Indicates that an entity (such as a person or organization) was responsible for designing, creating, or engineering a particular aircraft.
- 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.