Triple
T25913142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Glanville |
E652952
|
entity |
| Predicate | coachedTeamLevel |
P150912
|
FINISHED |
| Object | professional |
—
|
LITERAL FINISHED |
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: professional | Statement: [Jerry Glanville, coachedTeamLevel, professional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachedTeamLevel Context triple: [Jerry Glanville, coachedTeamLevel, professional]
-
A.
coachesLevel
Indicates the level or tier at which one entity coaches another, such as their rank, division, or proficiency category in a coaching context.
-
B.
levelOfCompetitionCoached
chosen
Indicates the competitive level or tier at which an individual has coached.
-
C.
teamLevel
Indicates the hierarchical rank or tier at which a team operates within an organization, competition, or structure.
-
D.
coachedDivision
Indicates that one entity served as the coach of a particular division or team unit within an organization.
-
E.
coachingTeam
Indicates that one entity serves as a coach or coaching staff for a particular team.
- 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_69e7ab3e025c819086771607157f0015 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f603c67f0c8190be8443cfa6e991b2 |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 8:30 a.m.