Triple
T5651013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Hartley |
E124507
|
entity |
| Predicate | hasCoachedAtLevel |
P64064
|
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: [Bob Hartley, hasCoachedAtLevel, professional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoachedAtLevel Context triple: [Bob Hartley, hasCoachedAtLevel, professional]
-
A.
hasCoachedFor
Indicates that one entity has served in a coaching role for another entity, such as a team, organization, or individual.
-
B.
hasCoachedCompetition
Indicates that one entity has served as a coach for another entity in the context of a specific competition or contest.
-
C.
hasCoachedProfessionalSports
chosen
Indicates that a person has served in a coaching role for a professional-level sports team or athlete.
-
D.
coachedAtEvent
Indicates that a person served as a coach at a specific event.
-
E.
coachesLevel
Indicates the level or tier at which one entity coaches another, such as their rank, division, or proficiency category in a coaching context.
- 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_69c00825df388190a58742fa9b1aa33d |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022d4ca788190b20168b20cb1d030 |
completed | March 22, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69c01b2274b48190b2ef57ed728f785c |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:42 p.m.