Triple
T24833482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manny Pacquiao vs. Ricky Hatton |
E621403
|
entity |
| Predicate | fighter1Trainer |
P157834
|
FINISHED |
| Object | Freddie Roach |
—
|
NE NERFINISHED |
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: Freddie Roach | Statement: [Manny Pacquiao vs. Ricky Hatton, fighter1Trainer, Freddie Roach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fighter1Trainer Context triple: [Manny Pacquiao vs. Ricky Hatton, fighter1Trainer, Freddie Roach]
-
A.
fighter1Trainer
chosen
Indicates that one entity serves as the trainer or coach responsible for preparing and guiding the first fighter entity.
-
B.
fighter2Trainer
Indicates that a person serves as the trainer or coach of a particular fighter.
-
C.
fighter1
Indicates that the subject is the first participant or primary combatant in a fight or competitive physical confrontation.
-
D.
fighter2
Indicates that the subject is the second participant (opponent) in a fighting or combat relationship or event.
-
E.
fighter1Nationality
Indicates the national origin or citizenship of the first fighter in a matchup or comparison.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 5:16 a.m.