Triple
T28870647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Butch Jones |
E732130
|
entity |
| Predicate | hasCoachedInDivision |
P118056
|
FINISHED |
| Object | NCAA Division I FBS |
—
|
NE NERFINISHED |
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: NCAA Division I FBS | Statement: [Butch Jones, hasCoachedInDivision, NCAA Division I FBS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoachedInDivision Context triple: [Butch Jones, hasCoachedInDivision, NCAA Division I FBS]
-
A.
hasCoachedIn
Indicates that one entity has served as a coach in a particular context, such as for a team, organization, event, or location.
-
B.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
C.
hasCoachedCompetition
Indicates that one entity has served as a coach for another entity in the context of a specific competition or contest.
-
D.
coachedDivision
chosen
Indicates that one entity served as the coach of a particular division or team unit within an organization.
-
E.
hasCoachedDiscipline
Indicates that a person has coached or provided training in a particular discipline, field, or area of expertise.
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fff9b126b4819085a4cf8791d388d1 |
completed | May 10, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69fff8f913a881908d3b7e490d92631f |
completed | May 10, 2026, 3:18 a.m. |
Created at: April 28, 2026, 7:32 a.m.