Triple

T17142115
Position Surface form Disambiguated ID Type / Status
Subject Nina Sharp E415992 entity
Predicate productionCompany P490 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: [Nina Sharp, productionCompany, Bad Robot Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Robot Productions
Context triple: [Nina Sharp, productionCompany, 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. Relativity Productions
    Relativity Productions is a film production company known for backing a range of American feature films across genres.
  • D. Davros Films
    Davros Films is a film production company best known for producing the apartheid-era drama "A Dry White Season."
  • E. Alcor Films
    Alcor Films is a film production company best known for producing the 1994 legal thriller "The Client."
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f2d5de10819090cbd65661b018d3 completed April 18, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014154b9848190ac01602eb01ae710 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.