Triple
T22727612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big 12 Coach of the Year |
E562038
|
entity |
| Predicate | appliesToTeamSport |
P5085
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Big 12 Coach of the Year, appliesToTeamSport, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToTeamSport Context triple: [Big 12 Coach of the Year, appliesToTeamSport, yes]
-
A.
appliesToSports
chosen
Indicates that something is relevant, appropriate, or specifically intended for use in the context of sports.
-
B.
associatedWithTeamSport
Indicates a relationship where an entity is connected to, involved in, or participates in a team-based sport.
-
C.
performsForSport
Indicates that an entity carries out an action or activity specifically in the context of a particular sport.
-
D.
includesSport
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
-
E.
appliesToCompetition
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable specifically to a competition.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792b22cc819099aa00bb2dbacce3 |
completed | April 29, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:21 p.m.