Triple

T20882117
Position Surface form Disambiguated ID Type / Status
Subject Doe Avedon E514176 entity
Predicate notableWork P4 FINISHED
Object The Big Knife 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 Knife | Statement: [Doe Avedon, notableWork, The Big Knife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Big Knife
Context triple: [Doe Avedon, notableWork, The Big Knife]
  • A. The Big Knife chosen
    The Big Knife is a 1955 American film noir drama that critiques the moral corruption of Hollywood through the story of a conflicted movie star trapped by a ruthless studio system.
  • B. The White Knife
    The White Knife is a major river in the North of Westeros in the world of "A Song of Ice and Fire," serving as a key waterway leading to the port city of White Harbor.
  • C. The Hatchet Man
    The Hatchet Man is a 1932 pre-Code Hollywood crime drama film notable for its portrayal of gang rivalries within San Francisco’s Chinatown.
  • D. Subtle Knife
    The Subtle Knife is a powerful, dimension-cutting blade from Philip Pullman’s "His Dark Materials" trilogy that can slice through any material and open windows between worlds.
  • E. The Big Kill
    The Big Kill is a hardboiled crime novel featuring private investigator Mike Hammer, written by American mystery author Mickey Spillane.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67a33548190b0f5ba58b001d387 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.