Triple

T16696186
Position Surface form Disambiguated ID Type / Status
Subject Die Lit E405721 entity
Predicate producer P490 FINISHED
Object Don Cannon E226314 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: Don Cannon | Statement: [Die Lit, producer, Don Cannon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Cannon
Context triple: [Die Lit, producer, Don Cannon]
  • A. Don Cannon chosen
    Don Cannon is an American hip-hop record producer and DJ known for his influential work with artists like Jeezy, Lil Uzi Vert, and others in the Atlanta rap scene.
  • B. Don P. Francis
    Don P. Francis is an American epidemiologist and public health official known for his pioneering work on HIV/AIDS research and prevention at the Centers for Disease Control and Prevention.
  • C. Curt Cannon
    Curt Cannon is a pseudonym used by American author Evan Hunter, best known for his crime and mystery fiction.
  • D. Burt Kennedy
    Burt Kennedy was an American screenwriter and director best known for his work on comedic and traditional Western films in the mid-20th century.
  • E. David Bonderman
    David Bonderman is an American billionaire businessman and private equity investor, best known as a founding partner of TPG Capital and as a prominent owner of major professional sports franchises.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37eadc35881909fb0cc405a0e2fae completed April 18, 2026, 12:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00919d02088190acecb1a62a100255 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.