Triple

T5580756
Position Surface form Disambiguated ID Type / Status
Subject I'm In It E146633 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: [I'm In It, writer, Mike Dean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Dean
Context triple: [I'm In It, 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. 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. 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.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0206d62548190b8a3c6efc1825661 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02826d84c8190a745e891ac2cccb8 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:37 p.m.