Triple

T17748215
Position Surface form Disambiguated ID Type / Status
Subject Legion (TV series) E443040 entity
Predicate starring P1507 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: [Legion (TV series), starring, Bill Irwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Irwin
Context triple: [Legion (TV series), starring, 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. 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.
  • D. Penn Jillette
    Penn Jillette is an American magician, comedian, author, and outspoken skeptic best known as half of the magic duo Penn & Teller.
  • E. Al Murray
    Al Murray is a British comedian and television personality best known for his pub landlord character and sharp, observational stand-up comedy.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad46a50819089c87f74efe3c7ca completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:10 a.m.