Triple
T23734588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Askren |
E586504
|
entity |
| Predicate | ONEChampionshipDebutYear |
P153459
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Ben Askren, ONEChampionshipDebutYear, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ONEChampionshipDebutYear Context triple: [Ben Askren, ONEChampionshipDebutYear, 2014]
-
A.
UFCDebutYear
Indicates the year in which an entity first appeared or made its debut in the UFC.
-
B.
UFCDebutDate
Indicates the date on which an entity (typically a fighter) first competed in a UFC event.
-
C.
worldChampionshipDebut
Indicates the event or occasion on which an entity first appeared or participated in a world championship.
-
D.
professionalMMAStartYear
Indicates the calendar year in which an individual began competing in professional mixed martial arts.
-
E.
madeBellatorDebutIn
Indicates the event or context (such as a fight, card, or date) in which a person or fighter had their first appearance in the Bellator MMA promotion.
- 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_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. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:10 p.m.