Triple
T2736057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julio César Chávez |
E60632
|
entity |
| Predicate | longestUnbeatenStreak |
P41740
|
FINISHED |
| Object | 90 fights |
—
|
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: 90 fights | Statement: [Julio César Chávez, longestUnbeatenStreak, 90 fights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longestUnbeatenStreak Context triple: [Julio César Chávez, longestUnbeatenStreak, 90 fights]
-
A.
mostConsecutiveWinsCount
Indicates the highest number of wins achieved in a row within a given sequence or context.
-
B.
championshipDroughtLengthYears
Indicates the number of years that have elapsed since an entity last won a championship.
-
C.
endedChampionshipDrought
Indicates that an entity’s achievement brought an end to a prolonged period without a championship title for a team or organization.
-
D.
consecutiveWinningSeasons
Indicates that an entity (such as a team or individual) has achieved winning seasons in back-to-back or uninterrupted consecutive years.
-
E.
mostConsecutiveWinsPlayer
Indicates the player who holds the record for the highest number of consecutive wins within a given context or competition.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb11c66c81909058f2978aa5fae9 |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd968b2148190929af432c9d8001f |
completed | March 7, 2026, 7:53 a.m. |
Created at: March 6, 2026, 9:56 p.m.