Triple
T21797715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Does It |
E538142
|
entity |
| Predicate | creditedProducer |
P44669
|
FINISHED |
| Object | Mike Dean |
—
|
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: Mike Dean | Statement: [Does It, creditedProducer, Mike Dean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Dean Context triple: [Does It, creditedProducer, 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.
Jay Deuby
Jay Deuby is a film editor known for his work on the independent horror-comedy movie "Baghead."
-
C.
Mike Andrews
Mike Andrews is a former Major League Baseball second baseman best known for his time with the Boston Red Sox during their famed "Impossible Dream" 1967 season.
-
D.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
-
E.
Mike Schaerer
Mike Schaerer is a Swiss film editor and director known for his work on the 2015 family film "Heidi" and other European cinema 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f077fb87848190b6df9a9d1c5336af |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 16, 2026, 6:53 p.m.