Triple

T10677872
Position Surface form Disambiguated ID Type / Status
Subject Free Guy E251665 entity
Predicate producer P490 FINISHED
Object Shawn Levy E68999 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: Shawn Levy | Statement: [Free Guy, producer, Shawn Levy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shawn Levy
Context triple: [Free Guy, producer, Shawn Levy]
  • A. Shawn Levy chosen
    Shawn Levy is a Canadian film director, producer, and actor best known for helming mainstream comedies and adventure films such as the "Night at the Museum" series and for producing hit television shows like "Stranger Things."
  • B. Peyton Reed
    Peyton Reed is an American film director known for helming major studio comedies and Marvel superhero films, including entries in the Ant-Man series.
  • C. Marc Turtletaub
    Marc Turtletaub is an American film producer and director known for backing acclaimed independent and character-driven movies such as "Little Miss Sunshine" and "A Beautiful Day in the Neighborhood."
  • D. Jordan Vogt-Roberts
    Jordan Vogt-Roberts is an American film director best known for helming the 2017 blockbuster monster movie "Kong: Skull Island."
  • E. Mike Sikowitz
    Mike Sikowitz is a television writer and producer best known for his work on sitcoms such as "Dr. Ken" and contributions to other popular comedy series.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb9563908190a69cf4bd2c24fd2f completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998bfc27c8190a9d3e77fbe544a6d completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:10 p.m.