Triple

T17686460
Position Surface form Disambiguated ID Type / Status
Subject Man-Size Sextet E440900 entity
Predicate originalWork P3563 FINISHED
Object Man-Size 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: Man-Size | Statement: [Man-Size Sextet, originalWork, Man-Size]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Man-Size
Context triple: [Man-Size Sextet, originalWork, Man-Size]
  • A. Man-Size chosen
    "Man-Size" is a raw, intense alternative rock song by PJ Harvey, featured on her critically acclaimed 1993 album "Rid of Me."
  • B. Life-Size
    Life-Size is a 2000 fantasy-comedy television film in which a young girl accidentally brings her fashion doll to life, starring Tyra Banks as the doll and Lindsay Lohan as the girl.
  • C. Groß
    Groß is a German surname most notably borne by the influential Dadaist and New Objectivity painter and caricaturist George Grosz.
  • D. Bigman
    Bigman is the nickname of Bigman Jones, likely used to highlight his large physical presence or commanding personality.
  • E. Big
    Big is a 1988 fantasy-comedy film in which Tom Hanks plays a boy who magically becomes an adult overnight, earning widespread acclaim and helping establish him as a major Hollywood star.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e470488c4081909b747313ef97b69c completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:03 a.m.