Triple
T7517250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geno Auriemma |
E177674
|
entity |
| Predicate | hasWonNaismithCollegeCoachOfTheYear |
P39935
|
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, hasWonNaismithCollegeCoachOfTheYear, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonNaismithCollegeCoachOfTheYear Context triple: [Geno Auriemma, hasWonNaismithCollegeCoachOfTheYear, true]
-
A.
NaismithCoachOfYearWinner
chosen
Indicates that the subject is the recipient of the Naismith Coach of the Year award for a given season or context.
-
B.
nbaCoachOfTheYearAward
Indicates that an individual has received the NBA Coach of the Year award for coaching excellence in a particular season.
-
C.
notableCoachAward
Indicates that a coach has received a significant or distinguished award in recognition of their coaching achievements.
-
D.
hasWonNCAATitleIn
Indicates that an entity has won an NCAA championship title in a specified sport, category, or year.
-
E.
NaismithPlayerOfYearWinner
Indicates that the subject is the recipient of the Naismith Player of the Year award for a given season or 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_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.