Triple
T29373221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Duke Evers |
E744912
|
entity |
| Predicate | roleInBoxing |
P198625
|
FINISHED |
| Object | corner team member |
—
|
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: corner team member | Statement: [Little Duke Evers, roleInBoxing, corner team member]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBoxing Context triple: [Little Duke Evers, roleInBoxing, corner team member]
-
A.
typeOfBoxer
Indicates the specific category or style of boxer that an individual belongs to.
-
B.
roleInUFC
Indicates the specific capacity or position an entity holds within the context of the Ultimate Fighting Championship (UFC), such as fighter, referee, coach, or official.
-
C.
roleInMMAHistory
Indicates the specific part or significance an entity has played in the development, events, or legacy of mixed martial arts history.
-
D.
styleOfBoxing
Indicates the specific boxing technique or approach that characterizes how an entity practices or performs boxing.
-
E.
formerBoxer
Indicates that a person previously worked or competed as a boxer but no longer does so.
- 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fef8c3f2388190b995ec173512945a |
completed | May 9, 2026, 9:05 a.m. |
| PD | Predicate disambiguation | batch_69fef65975608190960b78d27e806d4f |
completed | May 9, 2026, 8:54 a.m. |
| PDg | Predicate description generation | batch_69fef8c2cdd881908c6f44e4dfa5ffd0 |
completed | May 9, 2026, 9:05 a.m. |
Created at: April 28, 2026, 2:29 p.m.