Triple

T22001717
Position Surface form Disambiguated ID Type / Status
Subject Wayne Duvall E543340 entity
Predicate notableWork P4 FINISHED
Object Cop Land 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: Cop Land | Statement: [Wayne Duvall, notableWork, Cop Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cop Land
Context triple: [Wayne Duvall, notableWork, Cop Land]
  • A. Cop Land chosen
    Cop Land is a 1997 crime drama film in which Sylvester Stallone plays a small-town sheriff entangled in police corruption surrounding New York City officers.
  • B. Gangster Land
    Gangster Land is a crime drama film that chronicles the rise of notorious Chicago mobsters during the Prohibition era.
  • C. New Land
    New Land is a novel by Bulgarian writer Ivan Vazov that explores social and political changes in Bulgaria at the turn of the 20th century.
  • D. Free Land
    Free Land is a 1938 novel by Rose Wilder Lane that vividly portrays the hardships and resilience of homesteading settlers on the American Great Plains.
  • E. Stakeout
    "Stakeout" is a 1987 American buddy-cop comedy thriller film starring Richard Dreyfuss and Emilio Estevez as detectives assigned to surveil an escaped convict’s ex-girlfriend.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276ae4e0819097bf1b978451f776 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.