Triple
T35673132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC Heavyweight Championship |
E1030778
|
entity |
| Predicate | mostSuccessfulTitleDefenses |
P33242
|
FINISHED |
| Object | Stipe Miocic |
—
|
NE NERFINISHED |
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: Stipe Miocic | Statement: [UFC Heavyweight Championship, mostSuccessfulTitleDefenses, Stipe Miocic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostSuccessfulTitleDefenses Context triple: [UFC Heavyweight Championship, mostSuccessfulTitleDefenses, Stipe Miocic]
-
A.
numberOfTitleDefenses
chosen
Indicates the number of times an entity has successfully defended a previously won title or championship.
-
B.
consecutiveLeagueTitles
Indicates that one entity has won league titles in successive seasons without interruption.
-
C.
consecutiveMajorTitles
Indicates that one entity has won major titles in immediate succession without interruption.
-
D.
consecutiveTitlesForChampion
Indicates that a champion has won multiple titles in succession without interruption.
-
E.
numberOfChampionTitles
Indicates the total count of championship titles that an entity has won.
- 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79fe2d59c8190b2845f6fb32d7a28 |
completed | May 3, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69f79e4d885881908a3612e2e75cf84f |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:05 p.m.