Triple
T12069302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UT Martin Skyhawks women's basketball |
E287379
|
entity |
| Predicate | PatSummittRole |
P103033
|
FINISHED |
| Object | player |
—
|
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: player | Statement: [UT Martin Skyhawks women's basketball, PatSummittRole, player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PatSummittRole Context triple: [UT Martin Skyhawks women's basketball, PatSummittRole, player]
-
A.
PatSummittHallOfFame
Indicates that an entity has been inducted into the Pat Summitt Hall of Fame, recognizing notable achievement or contribution associated with Pat Summitt.
-
B.
PatSummittWins
Indicates that the subject has achieved a number of wins associated with Pat Summitt’s coaching record or standard.
-
C.
athleticDirectorOf
Indicates that one entity serves as the athletic director (the chief administrator of athletic programs) for another entity, typically an institution or organization.
-
D.
athleticDirector
Indicates that one entity serves as the athletic director (the person in charge of overseeing athletic programs) for another entity, such as a school or organization.
-
E.
athleticDirectorSchool
Indicates that a person serves as the athletic director for a particular school.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:48 p.m.