Triple

T19987935
Position Surface form Disambiguated ID Type / Status
Subject Don Martin E493980 entity
Predicate name P16 FINISHED
Object Don Martin 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: Don Martin | Statement: [Don Martin, name, Don Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Martin
Context triple: [Don Martin, name, Don Martin]
  • A. Don Martin
    Don Martin was a screenwriter known for his work on mid-20th-century American films, including the Western "Arrow in the Dust."
  • B. Don Martin chosen
    Don Martin was an American cartoonist best known for his absurd, slapstick-heavy comics and uniquely stylized characters in Mad magazine.
  • C. Dick Martin
    Dick Martin was an American comedian, actor, and director best known as the co-host of the groundbreaking 1960s–70s sketch comedy television show "Rowan & Martin's Laugh-In."
  • D. Glenn Hutchins
    Glenn Hutchins is an American businessman and investor best known as a co-founder of the private equity firm Silver Lake Partners and a prominent figure in the technology investment sector.
  • E. Donald Martin
    Donald Martin is a central fictional character in Walter Van Tilburg Clark’s novel "The Ox-Bow Incident," whose fate as an accused cattle rustler and lynching victim embodies the book’s themes of mob justice and moral responsibility.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fdd1a5c8190af756632aac38bf4 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:30 p.m.