Triple

T725887
Position Surface form Disambiguated ID Type / Status
Subject Watch the Throne E14724 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: [Watch the Throne, producer, Mike Dean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Dean
Context triple: [Watch the Throne, 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. Mike Starr
    Mike Starr is an American character actor known for his imposing presence and frequent roles as tough guys or mobsters in films and television.
  • C. Craig Bierko
    Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
  • D. Jim Loscutoff
    Jim Loscutoff was an American professional basketball forward best known for his rugged defense and seven NBA championships with the Boston Celtics in the 1950s and 1960s.
  • E. Brian VanDeMark
    Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
  • 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_69a4934c753c81909b309027e48b9b3a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5a7fb7c819096db848fe2ba246a completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3a8bcc8819091c785ad953ddc54 completed March 4, 2026, 3:14 a.m.
Created at: March 1, 2026, 7:37 p.m.