Triple
T13508158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Holloway |
E321064
|
entity |
| Predicate | beganMMAProfessionalCareer |
P65311
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Max Holloway, beganMMAProfessionalCareer, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganMMAProfessionalCareer Context triple: [Max Holloway, beganMMAProfessionalCareer, 2010]
-
A.
professionalMMAStartYear
chosen
Indicates the calendar year in which an individual began competing in professional mixed martial arts.
-
B.
beganAmateurCareer
Indicates that an entity started its amateur-level career or involvement in a particular field or activity.
-
C.
UFCDebutYear
Indicates the year in which an entity first appeared or made its debut in the UFC.
-
D.
startTimeOfProfessionalCareer
Indicates the point in time when an individual’s professional career formally begins.
-
E.
beganBroadcastingCareer
Indicates that an entity started or initiated its professional career in broadcasting at a particular time or context.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf85a74081909eb08751fc55ce8f |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.