Triple

T12667412
Position Surface form Disambiguated ID Type / Status
Subject Tom Hanks as Colonel Tom Parker E302591 entity
Predicate filmProductionCompany P14415 FINISHED
Object Bazmark Films E286395 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: Bazmark Films | Statement: [Tom Hanks as Colonel Tom Parker, filmProductionCompany, Bazmark Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bazmark Films
Context triple: [Tom Hanks as Colonel Tom Parker, filmProductionCompany, Bazmark Films]
  • A. Bazmark Films chosen
    Bazmark Films is an Australian film production company founded by director Baz Luhrmann, known for producing his visually distinctive and stylized movies such as Moulin Rouge! and The Great Gatsby.
  • B. Rainmark Films
    Rainmark Films is a British film and television production company known for producing high-quality dramas and feature films.
  • C. BAC Films
    BAC Films is a French film distribution company known for handling a wide range of independent and international cinema releases.
  • D. Barwood Films
    Barwood Films is a film production company co-founded by Barbra Streisand, known for producing several of her starring and directing projects.
  • E. Maverick Films
    Maverick Films is a film production company known for backing independent and genre-driven movies, including the crime comedy-drama "Gridlock'd."
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96181c40481908f3e2717f5472b85 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719de0908190bbc9a98e67e5b6eb completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:20 p.m.