Triple
T8767047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Holmes vs. Muhammad Ali |
E208362
|
entity |
| Predicate | fighter1TitleDefenceNumber |
P85275
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Larry Holmes vs. Muhammad Ali, fighter1TitleDefenceNumber, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fighter1TitleDefenceNumber Context triple: [Larry Holmes vs. Muhammad Ali, fighter1TitleDefenceNumber, 8]
-
A.
fighter1
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.
fighter1Nationality
Indicates the national origin or citizenship of the first fighter in a matchup or comparison.
-
D.
mainFighterAircraft
Indicates that an aircraft serves as the primary fighter aircraft for a given country, organization, or military force.
-
E.
fleetNumbers
Indicates that there is an association between an entity and one or more identifying numbers assigned to it as part of a fleet.
- F. None of above. chosen
Provenance (4 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5eeae70c8190adc2bc2846da0fbf |
completed | March 31, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:41 p.m.