Triple

T11203230
Position Surface form Disambiguated ID Type / Status
Subject The Duchess E265092 entity
Predicate productionCompany P490 FINISHED
Object Qwerty Films E717034 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: Qwerty Films | Statement: [The Duchess, productionCompany, Qwerty Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qwerty Films
Context triple: [The Duchess, productionCompany, Qwerty Films]
  • A. Qwerty Films chosen
    Qwerty Films is a British film production company known for producing acclaimed feature films, including biographical and dramatic works.
  • B. Elixir Films
    Elixir Films is a film production company known for producing the 2010 drama film "The Way," directed by Emilio Estevez and starring Martin Sheen.
  • C. Waverly Films
    Waverly Films is a Brooklyn-based film and video production collective known for its offbeat comedy shorts, music videos, and collaborations with major studios and brands.
  • 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. Firefly Films
    Firefly Films is a film production company known for producing the darkly comedic thriller "Come to Daddy."
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d355c481908fc3d555b596314d completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4972bfbd481908cd0da59389ae17c completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.