Triple

T22745782
Position Surface form Disambiguated ID Type / Status
Subject Mike Davis E562549 entity
Predicate name P16 FINISHED
Object Mike Davis 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 Davis | Statement: [Mike Davis, name, Mike Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Davis
Context triple: [Mike Davis, name, Mike Davis]
  • A. Mike Davis chosen
    Mike Davis was an American Marxist urban theorist, historian, and writer best known for his incisive analyses of cities, capitalism, and environmental catastrophe.
  • B. Mike Davis
    Mike Davis is an American college basketball coach best known for succeeding Bob Knight at Indiana University and leading the Hoosiers to the 2002 NCAA championship game.
  • C. Michael Baca
    Michael Baca is an American presidential elector known for his role in the landmark U.S. Supreme Court case Colorado Department of State v. Baca, which addressed whether states can penalize or replace “faithless electors” in the Electoral College.
  • D. Sam Marin
    Sam Marin is an American voice actor and animator best known for voicing multiple characters, including Benson, on the animated television series "Regular Show."
  • E. Mark di Suvero
    Mark di Suvero is an American abstract sculptor renowned for his monumental, industrial steel constructions installed in prominent outdoor sculpture parks and public spaces worldwide.
  • 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b563e481908804d07fca1777b9 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:23 p.m.