Triple

T17811577
Position Surface form Disambiguated ID Type / Status
Subject William Redfield E444719 entity
Predicate performedIn P795 FINISHED
Object A Fine Madness 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: A Fine Madness | Statement: [William Redfield, performedIn, A Fine Madness]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Fine Madness
Context triple: [William Redfield, performedIn, A Fine Madness]
  • A. A Fine Madness chosen
    A Fine Madness is a 1966 American comedy film starring Sean Connery as an eccentric, hot-tempered poet struggling with both his art and his personal life.
  • B. A Brilliant Madness
    A Brilliant Madness is Patty Duke’s candid memoir detailing her life, career, and struggles with bipolar disorder.
  • C. In Place of Folly
    In Place of Folly is a nonfiction book by American editor and peace advocate Norman Cousins that critiques modern society’s reliance on war and irrational policies while arguing for more humane, rational approaches to global problems.
  • D. The Maddening
    The Maddening is a 1995 psychological thriller film starring Burt Reynolds as a deranged patriarch who imprisons a young woman and her family.
  • E. Tales of Ordinary Madness
    Tales of Ordinary Madness is a 1981 drama film, based on the writings of Charles Bukowski, in which Ben Gazzara portrays a hard-drinking, self-destructive poet navigating the seedy underbelly of Los Angeles.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887b5e50819098506f0b92d709b5 completed April 19, 2026, 7:47 a.m.
Created at: April 10, 2026, 10:14 a.m.