Triple
T24765921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcos Maidana |
E619581
|
entity |
| Predicate | resultAgainstFloydMayweatherJrII |
P159381
|
FINISHED |
| Object | lost by unanimous decision |
—
|
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: lost by unanimous decision | Statement: [Marcos Maidana, resultAgainstFloydMayweatherJrII, lost by unanimous decision]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultAgainstFloydMayweatherJrII Context triple: [Marcos Maidana, resultAgainstFloydMayweatherJrII, lost by unanimous decision]
-
A.
resultAgainstFloydMayweatherJrI
Indicates the outcome or result of an entity’s contest or match against Floyd Mayweather Jr.
-
B.
resultAgainstAmirKhan
Indicates the outcome or performance of an entity in a contest, match, or event specifically when competing against Amir Khan.
-
C.
resultAgainstMuhammadAli
Indicates the outcome or performance of an entity in a contest, match, or comparison specifically against Muhammad Ali.
-
D.
fightOutcomeWithRockyInRockyII
Indicates the outcome of a fight involving Rocky in the context of the movie Rocky II.
-
E.
fightNumberForFrazier
Indicates the specific fight number or sequence position of a bout involving Frazier within a series of fights.
- 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f584f07b648190aee894c1d5320bc3 |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 18, 2026, 4:28 a.m.