Triple
T23204438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Jenkins |
E580410
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Dan Jenkins |
—
|
NE NERFINISHED |
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 Jenkins | Statement: [Dan Jenkins, name, Dan Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Jenkins Context triple: [Dan Jenkins, name, Dan Jenkins]
-
A.
Dan Jenkins
chosen
Dan Jenkins was an American sportswriter and novelist best known for his humorous and satirical portrayals of golf and college football.
-
B.
Rick Reilly
Rick Reilly is an American sportswriter and author best known for his long-running, humorous columns in Sports Illustrated and ESPN.
-
C.
Frank Deford
Frank Deford was a prominent American sportswriter and commentator known for his long tenure at Sports Illustrated and his storytelling on NPR’s "Morning Edition."
-
D.
Bob Fouts
Bob Fouts was an American sportscaster best known for his long career as a play-by-play announcer for San Francisco Bay Area sports teams.
-
E.
Steve Bencich
Steve Bencich is an American screenwriter best known for co-writing animated family films such as Disney's "Chicken Little" and "Brother Bear."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907b3e88819088a397a99456bf77 |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:07 p.m.