Triple

T2129461
Position Surface form Disambiguated ID Type / Status
Subject Sin City E46502 entity
Predicate hasSegment P3574 FINISHED
Object The Hard Goodbye E46502 NE FINISHED

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: The Hard Goodbye | Statement: [Sin City, hasSegment, The Hard Goodbye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Hard Goodbye
Context triple: [Sin City, hasSegment, The Hard Goodbye]
  • A. The Man Who Wasn't There
    The Man Who Wasn't There is a 2001 neo-noir crime film by the Coen brothers, known for its stark black-and-white cinematography and understated, existential storytelling.
  • B. Nightcrawler
    Nightcrawler is a 2014 neo-noir thriller film starring Jake Gyllenhaal as an amoral crime videographer prowling Los Angeles for sensational footage.
  • C. To Live and Die in L.A.
    To Live and Die in L.A. is a 1985 neo-noir crime thriller film directed by William Friedkin, known for its gritty depiction of Secret Service agents pursuing a counterfeiter in Los Angeles.
  • D. Sin City
    Sin City is a popular nickname for Las Vegas, Nevada, highlighting its reputation for gambling, nightlife, and adult entertainment.
  • E. Sin City chosen
    Sin City is a 2005 neo-noir crime anthology film, co-directed by Robert Rodriguez and Frank Miller, known for its stylized black-and-white visuals and adaptation of Miller’s graphic novel series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb77ccc4819087bee5dbb91b5ae8 completed March 7, 2026, 5:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51a36398819081df18cc18bc3456 completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:44 p.m.