Triple
T19850312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenny Buttrey |
E476974
|
entity |
| Predicate | workedWith |
P398
|
FINISHED |
| Object | Jimmy Buffett |
—
|
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: Jimmy Buffett | Statement: [Kenny Buttrey, workedWith, Jimmy Buffett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jimmy Buffett Context triple: [Kenny Buttrey, workedWith, Jimmy Buffett]
-
A.
Jimmy Buffett
Jimmy Buffett was an American singer-songwriter, author, and businessman best known for his laid-back "island escapism" music and the hit song "Margaritaville."
-
B.
Bertie Buffett
Bertie Buffett is a member of the Buffett family and a sibling of philanthropist Doris Buffett.
-
C.
Don Barry
Don Barry is a composer and musician known for creating the musical score for the 1975 film "Aloha, Bobby and Rose."
-
D.
James William Buffett
chosen
James William Buffett was an American singer-songwriter, author, and businessman best known for his laid-back "island escapism" music and the hit song "Margaritaville."
-
E.
Bobby Troup
Bobby Troup was an American jazz pianist, songwriter, and actor best known for penning classic tunes like "Route 66" and for his work in film and television.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65867b5408190bbd12ca567c4705f |
completed | April 20, 2026, 4:46 p.m. |
Created at: April 10, 2026, 1:51 p.m.