Triple

T16389503
Position Surface form Disambiguated ID Type / Status
Subject Susan Alexandra Weaver E398012 entity
Predicate notableWork P4 FINISHED
Object Copycat E237571 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: Copycat | Statement: [Susan Alexandra Weaver, notableWork, Copycat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copycat
Context triple: [Susan Alexandra Weaver, notableWork, Copycat]
  • A. Copycat chosen
    Copycat is a 1995 psychological thriller film about a criminal psychologist and a detective hunting a serial killer who imitates the methods of infamous murderers.
  • B. Clone High
    Clone High is an animated television series that satirically follows teenage clones of historical figures attending high school together.
  • C. Copia
    Copia was a later Roman colony in southern Italy that succeeded the ancient Greek city of Thurii.
  • D. Everything Is Copy
    Everything Is Copy is a 2015 HBO documentary film directed by Jacob Bernstein that explores the life, work, and legacy of his mother, writer and filmmaker Nora Ephron.
  • E. Carbon Copy
    Carbon Copy is a 1981 American comedy film starring George Segal and Denzel Washington in his feature-film debut.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326414f44819093ebc11f1b63444c completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357167b881909a5182537ef973ce completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.