Triple

T23212056
Position Surface form Disambiguated ID Type / Status
Subject Gail E580622 entity
Predicate appearsIn P795 FINISHED
Object The Big Fat Kill 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: The Big Fat Kill | Statement: [Gail, appearsIn, The Big Fat Kill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big Fat Kill
Context triple: [Gail, appearsIn, The Big Fat Kill]
  • A. The Big Fat Kill chosen
    The Big Fat Kill is a neo-noir crime comic story arc from Frank Miller's Sin City series, centered on a violent conflict between Old Town's prostitutes and corrupt men who threaten their fragile truce with the police.
  • B. The Big Kill
    The Big Kill is a hardboiled crime novel featuring private investigator Mike Hammer, written by American mystery author Mickey Spillane.
  • C. The Kill-Off
    The Kill-Off is a 1989 independent neo-noir film directed by Maggie Greenwald, adapted from a Jim Thompson crime novel and noted for its dark, atmospheric portrayal of small-town corruption and decay.
  • D. The Fat Guy Strangler
    The Fat Guy Strangler is a fictional serial killer persona from the animated TV series "Family Guy," associated with the character Patrick Pewterschmidt.
  • E. Lady Killer
    Lady Killer is a 1933 American pre-Code crime-comedy film starring James Cagney as a small-time crook who becomes a 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f191620378819096362252c3b819b6 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:07 p.m.