Triple
T13414775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leon Barmore |
E313182
|
entity |
| Predicate | coachWinLossRecordType |
P76167
|
FINISHED |
| Object | one of the highest winning percentages in NCAA women's basketball history |
—
|
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: one of the highest winning percentages in NCAA women's basketball history | Statement: [Leon Barmore, coachWinLossRecordType, one of the highest winning percentages in NCAA women's basketball history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coachWinLossRecordType Context triple: [Leon Barmore, coachWinLossRecordType, one of the highest winning percentages in NCAA women's basketball history]
-
A.
careerWinLossRecord
Indicates the overall tally of wins and losses an entity has accumulated over the entire span of its career.
-
B.
seasonRecordWins
Indicates the number of games a team has won during a specific season.
-
C.
seasonWins
Indicates the number of games or competitions a team or individual has won during a specific season.
-
D.
managerialRecordWins
Indicates the number of wins credited to an individual in their role as a manager or head coach.
-
E.
coachingRecordType
chosen
Indicates the specific category or nature of a coaching record associated with an entity or event.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb6e904819098cc9153fd2feaf5 |
completed | April 12, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:39 p.m.