Triple
T25058040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilfredo Gómez |
E627574
|
entity |
| Predicate | hasWonWorldTitlesInMultipleWeightClasses |
P72287
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Wilfredo Gómez, hasWonWorldTitlesInMultipleWeightClasses, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonWorldTitlesInMultipleWeightClasses Context triple: [Wilfredo Gómez, hasWonWorldTitlesInMultipleWeightClasses, true]
-
A.
numberOfTimesWorldHeavyweightChampion
Indicates the number of times an entity has held the World Heavyweight Champion title.
-
B.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
-
C.
numberOfTimesWonWorldMiddleweightTitle
Indicates the number of times an entity has won the world middleweight championship title.
-
D.
numberOfWeightDivisionsWithWorldTitles
chosen
Indicates the count of distinct weight divisions in which an entity has held world championship titles.
-
E.
isSecondWorldHeavyweightTitleReignFor
Indicates that the referenced heavyweight title reign is the second such reign in the career of the specified person or entity.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 18, 2026, 6:09 a.m.