Triple

T9331865
Position Surface form Disambiguated ID Type / Status
Subject This Changes Everything (2015 film) E224540 entity
Predicate distributor P1951 FINISHED
Object Kino Lorber E760066 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: Kino Lorber | Statement: [This Changes Everything (2015 film), distributor, Kino Lorber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kino Lorber
Context triple: [This Changes Everything (2015 film), distributor, Kino Lorber]
  • A. Kino Lorber chosen
    Kino Lorber is an independent film distribution company known for releasing art-house, foreign, and documentary films in North America.
  • B. Gramercy Pictures
    Gramercy Pictures was an American film production and distribution company known for releasing acclaimed independent and specialty films in the 1990s.
  • C. Vistar Films
    Vistar Films is a film production company best known for its involvement in the making of the 1985 horror-comedy classic "Fright Night."
  • D. Overture Films
    Overture Films was an American independent film production and distribution company active in the late 2000s, known for releasing a range of mid-budget and specialty films.
  • E. Vertigo Films
    Vertigo Films is a British film and television production company known for producing a range of independent and genre films as well as TV series.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37afceb88190ad7ffbc7b47a1caa completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c806374c819096db10aaa94a6457 completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:39 p.m.