Triple

T4556311
Position Surface form Disambiguated ID Type / Status
Subject Will Patton E120487 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: [Will Patton, notableWork, Copycat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copycat
Context triple: [Will Patton, 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. Mimics
    Mimics are a highly adaptive alien species from the science fiction story "Edge of Tomorrow" (and its source novel "All You Need Is Kill") known for their time-resetting ability and relentless war against humanity.
  • D. Sub Crazy
    "Sub Crazy" is a hip-hop track by Method Man (Tical) known for its gritty production and raw lyrical style.
  • E. Copying Beethoven
    Copying Beethoven is a 2006 historical drama film that fictionalizes the final years of composer Ludwig van Beethoven and his relationship with a young copyist.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5814f56c8190a65f61f6148b7e5a completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc584b3188190958de6cdc1656bf3 completed March 20, 2026, 10:09 p.m.
Created at: March 20, 2026, 1:09 p.m.