Triple
T10889519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Acuff |
E257138
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Roy Claxton Acuff |
E257138
|
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: Roy Claxton Acuff | Statement: [Roy Acuff, fullName, Roy Claxton Acuff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Claxton Acuff Context triple: [Roy Acuff, fullName, Roy Claxton Acuff]
-
A.
Roy Acuff
chosen
Roy Acuff was an influential American country music singer, fiddler, and Grand Ole Opry star often called the "King of Country Music."
-
B.
Don Franklin
Don Franklin is an American actor best known for his roles in science fiction and adventure television series, including a prominent part on SeaQuest DSV.
-
C.
Dean Franklin
Dean Franklin is a screenwriter best known for his work on the classic World War I film "The Fighting 69th."
-
D.
Don Laws
Don Laws was a prominent American figure skating coach and former competitive skater, best known for mentoring elite athletes and contributing significantly to the sport’s development.
-
E.
Mildred Douglas Acuff
Mildred Douglas Acuff was the wife of influential American country music star Roy Acuff and a supportive figure in his personal and professional life.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d752041e2c8190b513dc9dc5857fcc |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d6d70e90819093ced18f59785ab9 |
completed | April 18, 2026, 12:56 a.m. |
Created at: April 8, 2026, 9:21 p.m.