Triple

T20592586
Position Surface form Disambiguated ID Type / Status
Subject Dick Martin E505966 entity
Predicate name P16 FINISHED
Object Dick 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: Dick Martin | Statement: [Dick Martin, name, Dick Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick Martin
Context triple: [Dick Martin, name, Dick Martin]
  • A. Dick Martin chosen
    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."
  • B. Don Martin
    Don Martin was an American cartoonist best known for his absurd, slapstick-heavy comics and uniquely stylized characters in Mad magazine.
  • C. Don Martin
    Don Martin was a screenwriter known for his work on mid-20th-century American films, including the Western "Arrow in the Dust."
  • D. Mike Douglas
    Mike Douglas was an American singer and television talk show host best known for "The Mike Douglas Show," a popular daytime program that ran from the 1960s through the early 1980s.
  • E. Mitch Martin
    Mitch Martin is the hapless, newly single protagonist of the comedy film "Old School," whose midlife crisis leads him to start a wild fraternity with his friends.
  • 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_69e0b4ba6ae88190af871e1f9522c704 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a97d63cc8190853e052d5930470d completed April 20, 2026, 10:32 p.m.
Created at: April 16, 2026, 11:40 a.m.