Triple
T1146708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Basketball Association |
E23581
|
entity |
| Predicate | notablePlayer |
P304
|
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: [American Basketball Association, notablePlayer, Dan Issel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Issel Context triple: [American Basketball Association, notablePlayer, 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.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
E.
Dylan Highsmith
Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc6e8c2081909fb3534413b7aacb |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5eb3ec3881908c8cb39b422fcc71 |
completed | March 7, 2026, 5:21 p.m. |
Created at: March 1, 2026, 7:44 p.m.