Triple
T7517252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geno Auriemma |
E177674
|
entity |
| Predicate | hasWonUSBWACoachOfTheYear |
P73379
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Geno Auriemma, hasWonUSBWACoachOfTheYear, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonUSBWACoachOfTheYear Context triple: [Geno Auriemma, hasWonUSBWACoachOfTheYear, true]
-
A.
numberOfCoachOfTheYearAwards
Indicates the count of times an entity has received a Coach of the Year award.
-
B.
notableCoachAward
chosen
Indicates that a coach has received a significant or distinguished award in recognition of their coaching achievements.
-
C.
medalWonAsCoach
Indicates that an individual has won a medal in the role of a coach rather than as a competitor.
-
D.
championshipWonAsCoach
Indicates that the subject, acting in the role of coach, has won a championship title with the associated team or organization.
-
E.
nbaCoachOfTheYearAward
Indicates that an individual has received the NBA Coach of the Year award for coaching excellence in a particular season.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f6ccc8819080ffd123fdd59a50 |
completed | March 27, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:46 p.m.