Triple
T23684579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UFC 239 |
E585127
|
entity |
| Predicate | coMainEventChampion |
P151181
|
FINISHED |
| Object | Amanda Nunes |
—
|
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: Amanda Nunes | Statement: [UFC 239, coMainEventChampion, Amanda Nunes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coMainEventChampion Context triple: [UFC 239, coMainEventChampion, Amanda Nunes]
-
A.
coMainEvent
Indicates that two or more events share equal primary status as the main featured events within the same program or occasion.
-
B.
coMainEventWinner
chosen
Indicates that an entity is one of the winners of a shared or jointly headlined main event.
-
C.
championOf
Indicates that one entity serves as the primary defender, advocate, or leading supporter of another entity, often working to promote or protect its interests.
-
D.
featuredChampion
Indicates that an entity is highlighted or designated as a primary or special champion in a given context or event.
-
E.
champion
Indicates that one entity has won a competition or contest and holds the top position or title over others.
- 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_69e249037ce0819088b149608e98f685 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4fb26c88190a6776e4dfd10d54c |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f155d5265881908e43a9696b6a6d0f |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 6:52 p.m.