Triple
T35492897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuji Nagata |
E1025776
|
entity |
| Predicate | hasMMARecord |
P176073
|
FINISHED |
| Object | 3-2 |
—
|
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: 3-2 | Statement: [Yuji Nagata, hasMMARecord, 3-2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMMARecord Context triple: [Yuji Nagata, hasMMARecord, 3-2]
-
A.
professionalMMARecordSummary
chosen
Indicates the summarized outcome of a fighter’s professional mixed martial arts career, typically including total wins, losses, and draws.
-
B.
professionalMMARecordLosses
Indicates the number of losses an entity has in their professional mixed martial arts competition record.
-
C.
yearsActiveInMMA
Indicates the span of time, in years, during which an entity has been actively involved in mixed martial arts competition or participation.
-
D.
roleInMMAHistory
Indicates the specific part or significance an entity has played in the development, events, or legacy of mixed martial arts history.
-
E.
professionalMMAStartYear
Indicates the calendar year in which an individual began competing in professional mixed martial arts.
- 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_69f76dfbcdd881908c7b0b6bc502252b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79da9f80c8190b0afd8509f28747b |
completed | May 3, 2026, 7:10 p.m. |
| PD | Predicate disambiguation | batch_69f79617d40481909ba372f94209c08b |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.