Triple

T12278652
Position Surface form Disambiguated ID Type / Status
Subject Family Ties E292657 entity
Predicate productionCompany P490 FINISHED
Object Ubu Productions E699912 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: Ubu Productions | Statement: [Family Ties, productionCompany, Ubu Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ubu Productions
Context triple: [Family Ties, productionCompany, Ubu Productions]
  • A. Ubu Productions chosen
    Ubu Productions is a television production company best known for its work on popular American sitcoms and its distinctive “Sit, Ubu, sit” closing logo.
  • B. Cantharus Productions
    Cantharus Productions is a film production company best known for its involvement in the 1983 superhero movie "Superman III."
  • C. Shoebox Films
    Shoebox Films is a British film production company known for producing independent and auteur-driven movies, including the 2019 thriller "Serenity."
  • D. Aquarius Films
    Aquarius Films is an Australian film and television production company known for creating distinctive, character-driven screen content for both local and international audiences.
  • E. Skreba Films
    Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf1ab8c8190a51f498bfda957d8 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6f46f08190839ba07ef6fac984 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.