Triple

T3127433
Position Surface form Disambiguated ID Type / Status
Subject Violent Crimes E65330 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: [Violent Crimes, producer, Mike Dean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Dean
Context triple: [Violent Crimes, 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 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.
  • C. 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.
  • D. Michael Devine
    Michael Devine was an Irish republican hunger striker and INLA member who died during the 1981 Maze Prison hunger strike in Northern Ireland.
  • E. Rick DeWitt
    Rick DeWitt is a philosopher known for his work in logic and the philosophy of science, including authorship of accessible textbooks in these areas.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada546a6648190bc4bc3e599e6aa95 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b261f21620819088b6e7f782efe0b8 completed March 12, 2026, 6:49 a.m.
Created at: March 8, 2026, 3:04 p.m.