Triple
T22843790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brainfeeder |
E566158
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object | Taylor McFerrin |
—
|
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: Taylor McFerrin | Statement: [Brainfeeder, notableArtist, Taylor McFerrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taylor McFerrin Context triple: [Brainfeeder, notableArtist, Taylor McFerrin]
-
A.
Taylor McFerrin
chosen
Taylor McFerrin is an American producer, composer, and multi-instrumentalist known for his genre-blending electronic, jazz, and soul music.
-
B.
Andrew McClary
Andrew McClary was a New Hampshire militia major and patriot officer in the American Revolutionary War, noted for his role and death at the Battle of Bunker Hill.
-
C.
Davis McAlary
Davis McAlary is a fictional New Orleans DJ and musician known for his passionate advocacy of the city’s music and culture in the television series "Treme."
-
D.
Aaron McKie
Aaron McKie is a former American NBA guard and Sixth Man of the Year who later became a college basketball coach.
-
E.
Matthew Shafer
Matthew Shafer is an American writer known for his work on the animated series "Cowboy Bebop" and related projects.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e8726d4819095b4d999b4172ff7 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.