Triple
T13746739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Me to the Light |
E330228
|
entity |
| Predicate | mixingEngineer |
P30367
|
FINISHED |
| Object | BJ Burton |
E329877
|
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: BJ Burton | Statement: [Take Me to the Light, mixingEngineer, BJ Burton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BJ Burton Context triple: [Take Me to the Light, mixingEngineer, BJ Burton]
-
A.
BJ Burton
chosen
BJ Burton is an American record producer and engineer known for his experimental, genre-blending work with artists such as Bon Iver and Low.
-
B.
Matt Tifft
Matt Tifft is an American professional stock car racing driver who has competed in NASCAR’s top national series, including the Cup Series.
-
C.
William D. Byron
William D. Byron was a U.S. Congressman from Maryland who served briefly in the early 1940s before dying in a plane crash while in office.
-
D.
Jarrod Dillon
Jarrod Dillon is a sports executive who serves as the president of Major League Soccer club Orlando City SC.
-
E.
Tim Fagan
Tim Fagan is a person notable enough to be recognized as a bearer of the surname Fagan, though specific widely known achievements or roles are not clearly established.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0211ba5481909fbd5b447e3d5a02 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b06b7d1481909a318086d76d3af0 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:08 p.m.