Triple
T21067014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Sky Conference Coach of the Year |
E519001
|
entity |
| Predicate | eligibleCoachesFrom |
P142716
|
FINISHED |
| Object | Big Sky Conference member schools |
—
|
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: Big Sky Conference member schools | Statement: [Big Sky Conference Coach of the Year, eligibleCoachesFrom, Big Sky Conference member schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleCoachesFrom Context triple: [Big Sky Conference Coach of the Year, eligibleCoachesFrom, Big Sky Conference member schools]
-
A.
coachesInclude
Indicates that a set, group, or collection of coaches contains or includes a particular coach or subset of coaches.
-
B.
coachesWith
Indicates that one entity serves as a coach or trainer in relation to another entity.
-
C.
featuredCoach
Indicates that a particular coach is highlighted or given special prominence within a specific context or collection.
-
D.
numberOfCoaches
Indicates the total count of coaches associated with a given entity or context.
-
E.
isActiveAsCoach
Indicates that an entity is currently functioning in the role of a coach within a given context or organization.
- F. None of above. chosen
Provenance (4 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb455fc81909cc63fa0e87b6a35 |
completed | April 21, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf9d71881908cd85dfc37db93ca |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:45 p.m.