Triple
T8067010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonna Love Me |
E188267
|
entity |
| Predicate | writer |
P1360
|
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: [Gonna Love Me, writer, Mike Dean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Dean Context triple: [Gonna Love Me, writer, 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.
Darrin Dean
Darrin Dean is a hip-hop music producer best known for his work on DMX’s debut album "It’s Dark and Hell Is Hot."
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff75d208190b7c53d2fe55878ac |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e587908190980f1f026f4aa153 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:26 p.m.