Triple

T23121043
Position Surface form Disambiguated ID Type / Status
Subject Eight Men Out E576891 entity
Predicate castMember P1668 FINISHED
Object Bill Irwin 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: Bill Irwin | Statement: [Eight Men Out, castMember, Bill Irwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Irwin
Context triple: [Eight Men Out, castMember, Bill Irwin]
  • A. Bill Irwin chosen
    Bill Irwin is an American actor and clown known for his work in theater, film, and television, including his performance as the voice and puppeteer of the robot TARS in "Interstellar."
  • B. Bill Dana
    Bill Dana was an American comedian, writer, and actor best known for his character José Jiménez and his influential work in television comedy.
  • C. Bill Dana
    Bill Dana was a NASA research pilot and aeronautical engineer best known for flying experimental lifting-body aircraft and contributing to high-speed, high-altitude flight research.
  • D. David Conner
    David Conner was a United States Navy officer best known for commanding American naval forces in the Gulf of Mexico during the Mexican–American War.
  • E. Penn Jillette
    Penn Jillette is an American magician, comedian, author, and outspoken skeptic best known as half of the magic duo Penn & Teller.
  • 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_69e245f6c2e881909a228fdcfeb7c7d3 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e4f9be881908307838bfb5edc0c completed April 29, 2026, 4:51 a.m.
Created at: April 17, 2026, 3:59 p.m.