Triple
T17186417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hey What |
E417119
|
entity |
| Predicate | producer |
P490
|
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: [Hey What, producer, BJ Burton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BJ Burton Context triple: [Hey What, producer, 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.
Adam Burton
Adam Burton is a fictional character from the romantic comedy film "Little Manhattan," which follows a young boy's first experience with love in New York City.
-
E.
Jarrod Dillon
Jarrod Dillon is a sports executive who serves as the president of Major League Soccer club Orlando City SC.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d962b988190bdbba81ac63c7e6e |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170e784bc8190a052c4fe87be124a |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:37 a.m.