Triple
T20878169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Fogler |
E514074
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Don Peyote |
—
|
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: Don Peyote | Statement: [Dan Fogler, notableWork, Don Peyote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Peyote Context triple: [Dan Fogler, notableWork, Don Peyote]
-
A.
Mescalito
Mescalito is a song by James Taylor featured on his 1972 album "One Man Dog."
-
B.
Black Tequila
"Black Tequila" is a track from Ghostface Killah’s 2010 hip-hop album *Apollo Kids*, known for its gritty lyricism and soulful production.
-
C.
Casamigos
Casamigos is a popular tequila and mezcal brand co-founded by George Clooney, known for its smooth, approachable premium spirits.
-
D.
peyote
chosen
Peyote is a small, spineless cactus native to Mexico and the southwestern United States, known for its psychoactive mescaline content and traditional use in Indigenous spiritual and religious ceremonies.
-
E.
Tequila and Bonetti
Tequila and Bonetti is an early-1990s American comedy-drama television series about a New York cop partnered with a talking police dog in a California beach town.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6775f108190a79cd5e8c31cecf6 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.