Triple

T17586165
Position Surface form Disambiguated ID Type / Status
Subject Senso E428326 entity
Predicate distributor P1951 FINISHED
Object Lux Film NE NERFINISHED

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: Lux Film | Statement: [Senso, distributor, Lux Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lux Film
Context triple: [Senso, distributor, Lux Film]
  • A. Lux Film chosen
    Lux Film was an Italian film production company active mainly in the mid-20th century, known for producing a range of notable Italian and European films.
  • B. Cascade Films
    Cascade Films is a film production company known for developing and producing independent feature films.
  • C. Apache Films
    Apache Films is a Spanish film production company known for backing genre and auteur-driven movies such as the psychological thriller "Marrowbone."
  • D. Element Films
    Element Films is a film production company known for working on acclaimed independent and politically themed cinema such as Ken Loach’s "The Wind That Shakes the Barley."
  • E. Linson Films
    Linson Films is a film production company founded by producer Art Linson, known for backing notable movies such as "Fight Club."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d22f908190ae0f1eeafbe54459 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.