Triple
T6946010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Manuel Márquez |
E160799
|
entity |
| Predicate | mostFamousVictory |
P45877
|
FINISHED |
| Object | knockout of Manny Pacquiao on 2012-12-08 |
—
|
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: knockout of Manny Pacquiao on 2012-12-08 | Statement: [Juan Manuel Márquez, mostFamousVictory, knockout of Manny Pacquiao on 2012-12-08]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostFamousVictory Context triple: [Juan Manuel Márquez, mostFamousVictory, knockout of Manny Pacquiao on 2012-12-08]
-
A.
yearOfMajorVictory
Indicates the specific year in which a major victory associated with the subject occurred.
-
B.
dateOfVictory
chosen
Indicates the specific calendar date on which a victory or winning outcome occurred.
-
C.
victoryIn
Indicates that one entity achieves a win or success in a specific contest, event, or competitive context involving another entity.
-
D.
isLargestBattleIn
Indicates that a battle is the largest (by scale, size, or impact) among all battles occurring within a specified context, such as a war, campaign, region, or time period.
-
E.
hasSignificantBattle
Indicates that a major or decisive battle occurred involving the related entities.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:28 p.m.