Triple
T24833463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manny Pacquiao vs. Ricky Hatton |
E621403
|
entity |
| Predicate | timeOfKnockoutInRound2 |
P157390
|
FINISHED |
| Object | 2:59 |
—
|
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: 2:59 | Statement: [Manny Pacquiao vs. Ricky Hatton, timeOfKnockoutInRound2, 2:59]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfKnockoutInRound2 Context triple: [Manny Pacquiao vs. Ricky Hatton, timeOfKnockoutInRound2, 2:59]
-
A.
numberOfKnockouts
Indicates the total count of times an entity has defeated opponents by knockout.
-
B.
secondRoundSeriesResult
Indicates the outcome or result of a series that takes place in the second round of a multi-round competition or tournament.
-
C.
eliminatedInRound
Indicates that an entity was removed from further participation or competition during a specified round.
-
D.
mainOpponentPartyInSecondRound
Indicates that an entity serves as the primary opposing party to another entity in the second round of a competition, election, or contest.
-
E.
secondRoundWinner
Indicates that the subject is the winner of the second round in a multi-round competition, contest, or process.
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f4303fad6c8190844f069164f0904d |
completed | May 1, 2026, 4:46 a.m. |
Created at: April 18, 2026, 5:16 a.m.