Triple
T34057226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Kidd |
E873392
|
entity |
| Predicate | highSchoolCoaching |
P175480
|
FINISHED |
| Object | Madison-Model High School |
—
|
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: Madison-Model High School | Statement: [Roy Kidd, highSchoolCoaching, Madison-Model High School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highSchoolCoaching Context triple: [Roy Kidd, highSchoolCoaching, Madison-Model High School]
-
A.
coachedAtHighSchool
chosen
Indicates that one entity served as a coach at the high school associated with the other entity.
-
B.
coachSchool
Indicates that a person serves as a coach for a particular school or educational institution.
-
C.
coachesSport
Indicates that one entity serves as the coach or trainer responsible for another entity’s participation in a particular sport.
-
D.
isCollegeCoachInSport
Indicates that a person holds the role of a college-level coach within a specified sport.
-
E.
servesHighSchool
Indicates that an entity provides services, support, or resources specifically to a high school.
- 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_69f349a3ec2c8190b62da76e54231a0f |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:52 a.m.