Triple
T26084073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burt Vickerman |
E657927
|
entity |
| Predicate | hasCoachingStyle |
P29237
|
FINISHED |
| Object | strict but fair |
—
|
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: strict but fair | Statement: [Burt Vickerman, hasCoachingStyle, strict but fair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoachingStyle Context triple: [Burt Vickerman, hasCoachingStyle, strict but fair]
-
A.
hasCoachingStructure
Indicates that one entity provides an organized coaching framework, system, or arrangement for another entity.
-
B.
hasCoachingExperienceAs
Indicates that an entity has experience providing coaching in a specified role or capacity.
-
C.
coachingTrait
chosen
Indicates that one entity possesses a characteristic, style, or quality specifically related to coaching.
-
D.
isActiveAsCoach
Indicates that an entity is currently functioning in the role of a coach within a given context or organization.
-
E.
hasDecisionMakingStyle
Indicates that an entity possesses or exhibits a particular way or pattern of making decisions.
- 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fd37b695c88190855801626f91c4cd |
completed | May 8, 2026, 1:09 a.m. |
| PD | Predicate disambiguation | batch_69fd374cccf08190a230e87164af5938 |
completed | May 8, 2026, 1:07 a.m. |
Created at: April 26, 2026, 7:41 p.m.