Triple
T5548931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khamzat Chimaev |
E145476
|
entity |
| Predicate | professionalMMAStartYear |
P65311
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Khamzat Chimaev, professionalMMAStartYear, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalMMAStartYear Context triple: [Khamzat Chimaev, professionalMMAStartYear, 2018]
-
A.
lastProfessionalFightDate
Indicates the calendar date on which an entity most recently participated in a professional fight.
-
B.
professionalDebutDivision
Indicates the competitive division or level in which an individual first began their professional career.
-
C.
firstKnownTournamentYear
Indicates the year in which a tournament was first known to have been held.
-
D.
wrestlingDebut
Indicates the event or date on which a person first appears in a professional wrestling match or promotion.
-
E.
coachStartYear
Indicates the year in which a person began serving in a coaching role for a particular team or organization.
- F. None of above. chosen
Provenance (4 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe143ec8190bb67d2530c92a419 |
completed | March 22, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69c01b0e72f08190bf705d8fe1639401 |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f051e508190b3886d87b4afdd0b |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:35 p.m.