Triple
T32338663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Brunson |
E826244
|
entity |
| Predicate | coachedAtCollege |
P71928
|
FINISHED |
| Object | University of Virginia men's basketball |
—
|
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: University of Virginia men's basketball | Statement: [Rick Brunson, coachedAtCollege, University of Virginia men's basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedAtCollege Context triple: [Rick Brunson, coachedAtCollege, University of Virginia men's basketball]
-
A.
playedForCollegeCoach
Indicates that an athlete was coached by a specific college coach while playing for that coach’s team.
-
B.
coachedInConference
Indicates that a person served as a coach for a team or organization while it was competing within a specific conference.
-
C.
isCollegeCoachInSport
chosen
Indicates that a person holds the role of a college-level coach within a specified sport.
-
D.
coachedFrom
Indicates that one entity served as a coach or trainer for another entity during a specified period or context.
-
E.
coachedAtEvent
Indicates that a person served as a coach at a specific event.
- 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_69f34913d9048190befaa634025232be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 12:48 a.m.