Triple
T28870572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randy Edsall |
E732129
|
entity |
| Predicate | collegeCoachAt |
P74507
|
FINISHED |
| Object | University of Connecticut |
—
|
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 Connecticut | Statement: [Randy Edsall, collegeCoachAt, University of Connecticut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collegeCoachAt Context triple: [Randy Edsall, collegeCoachAt, University of Connecticut]
-
A.
collegeCoach
Indicates that one entity serves as a coach for a college-level sports team associated with another entity.
-
B.
academicAdvisor
Indicates that one entity serves as the academic advisor, providing formal guidance and oversight on academic matters, to another entity.
-
C.
collegeScoringRecord
Indicates that an entity holds or represents a record for scoring performance achieved during college-level competition.
-
D.
coachSchool
chosen
Indicates that a person serves as a coach for a particular school or educational institution.
-
E.
numberOfColleges
Indicates the quantity of colleges associated with a given entity.
- 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_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 28, 2026, 7:32 a.m.