Triple
T32565112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Potsy Clark |
E832339
|
entity |
| Predicate | coachedCollegeTeam |
P2176
|
FINISHED |
| Object | University of Kansas football team |
—
|
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 Kansas football team | Statement: [Potsy Clark, coachedCollegeTeam, University of Kansas football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedCollegeTeam Context triple: [Potsy Clark, coachedCollegeTeam, University of Kansas football team]
-
A.
collegeTeamCoach
Indicates that one entity serves as the coach of a college sports team represented by the other entity.
-
B.
collegeTeamCoached
chosen
Indicates that a person has served as a coach for a particular college sports team.
-
C.
coachingTeam
Indicates that one entity serves as a coach or coaching staff for a particular team.
-
D.
coachedTeamInBowlGame
Indicates that a coach led or directed a particular team in a specific bowl game.
-
E.
coachedDivision
Indicates that one entity served as the coach of a particular division or team unit within an organization.
- 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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:03 a.m.