Triple
T1502797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kentucky Wildcats men's basketball |
E33832
|
entity |
| Predicate | hasNotablePlayer |
P9730
|
FINISHED |
| Object | Dan Issel |
E20022
|
NE 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: Dan Issel | Statement: [Kentucky Wildcats men's basketball, hasNotablePlayer, Dan Issel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Issel Context triple: [Kentucky Wildcats men's basketball, hasNotablePlayer, Dan Issel]
-
A.
Dan Issel
chosen
Dan Issel is a Hall of Fame American basketball player and coach best known as a prolific scoring big man in the ABA and NBA, particularly with the Kentucky Colonels and Denver Nuggets.
-
B.
Gavin DeGraw
Gavin DeGraw is an American singer-songwriter best known for his soulful pop-rock hits like "I Don't Want to Be" and "Chariot."
-
C.
Jay Cassidy
Jay Cassidy is an American film editor known for his work on acclaimed movies such as "Silver Linings Playbook."
-
D.
Ashton Meem
Ashton Meem is an American woman best known as the first wife of NFL quarterback Russell Wilson and for her work in advertising and event planning.
-
E.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a885f352a4819099b24ff15489dede |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a8872fae4c81908e7d6961e6c5fa96 |
completed | March 4, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad233464b08190927694a8f236227b |
completed | March 8, 2026, 7:20 a.m. |
Created at: March 4, 2026, 7:24 p.m.