Triple

T6080900
Position Surface form Disambiguated ID Type / Status
Subject Michael Giacchino E135518 entity
Predicate employer P7 FINISHED
Object Bad Robot Productions E85542 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: Bad Robot Productions | Statement: [Michael Giacchino, employer, Bad Robot Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Robot Productions
Context triple: [Michael Giacchino, employer, Bad Robot Productions]
  • A. Bad Robot Productions chosen
    Bad Robot Productions is an American film and television production company known for creating popular genre franchises and series such as Lost, Alias, and the recent Star Trek and Star Wars films.
  • B. Amen Ra Films
    Amen Ra Films is a film production company founded by Wesley Snipes, best known for producing projects such as the action-horror sequel "Blade II."
  • C. Alcor Films
    Alcor Films is a film production company best known for producing the 1994 legal thriller "The Client."
  • D. Shoebox Films
    Shoebox Films is a British film production company known for producing independent and auteur-driven movies, including the 2019 thriller "Serenity."
  • E. Cantharus Productions
    Cantharus Productions is a film production company best known for its involvement in the 1983 superhero movie "Superman III."
  • 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_69c0087ad31c8190ab936e0ff28614b6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057735b6081908b82757505fa7d5d completed March 22, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d52850c8190baaf70460e74065f completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:11 p.m.