Triple
T23734580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Askren |
E586504
|
entity |
| Predicate | turnedProfessionalInMMA |
P65311
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Ben Askren, turnedProfessionalInMMA, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnedProfessionalInMMA Context triple: [Ben Askren, turnedProfessionalInMMA, 2009]
-
A.
turnedProfessionalInBodybuilding
Indicates that a person began their career as a professional in the sport of bodybuilding at a specified time or event.
-
B.
professionalMMAStartYear
chosen
Indicates the calendar year in which an individual began competing in professional mixed martial arts.
-
C.
roleInMMAHistory
Indicates the specific part or significance an entity has played in the development, events, or legacy of mixed martial arts history.
-
D.
transitionedToProfessionalStatusAs
Indicates that an entity changed from a non-professional state or role into a professional status specifically in relation to another entity.
-
E.
yearsActiveInMMA
Indicates the span of time, in years, during which an entity has been actively involved in mixed martial arts competition or participation.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bacfb3d0819085a11140ac7aeb12 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:10 p.m.