Triple
T5108168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junya |
E115148
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | MIKE DEAN |
E66896
|
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: MIKE DEAN | Statement: [Junya, producer, MIKE DEAN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIKE DEAN Context triple: [Junya, producer, MIKE DEAN]
-
A.
Mike Dean
chosen
Mike Dean is an American record producer, audio engineer, and multi-instrumentalist known for his influential work with artists like Kanye West, Travis Scott, and many others in hip-hop and popular music.
-
B.
Mark DeBarge
Mark DeBarge is an American R&B singer and musician best known as a member of the family group DeBarge, popular in the 1980s.
-
C.
Mickey Deans
Mickey Deans was an American discotheque manager and musician best known as the fifth and final husband of legendary entertainer Judy Garland.
-
D.
Bill DeRonde
Bill DeRonde is a film editor best known for his work on the cult action film "The Boondock Saints."
-
E.
Doug Miro
Doug Miro is an American screenwriter and producer best known for co-creating the Netflix crime drama series "Narcos."
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75aa6b088190b02cdb66ec4a11f0 |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba9ec0fc819085dcd1d27f46f377 |
completed | March 21, 2026, 3:34 p.m. |
Created at: March 20, 2026, 1:41 p.m.