Triple

T11202734
Position Surface form Disambiguated ID Type / Status
Subject Love Streams E265078 entity
Predicate distributor P1951 FINISHED
Object Cannon Films E875053 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: Cannon Films | Statement: [Love Streams, distributor, Cannon Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cannon Films
Context triple: [Love Streams, distributor, Cannon Films]
  • A. Cannon Films chosen
    Cannon Films was a prolific independent film production and distribution company best known for its low- to mid-budget action movies and cult classics during the 1980s.
  • B. Cascade Films
    Cascade Films is a film production company known for developing and producing independent feature films.
  • C. Carnival Films
    Carnival Films is a British television and film production company best known internationally for creating the period drama series "Downton Abbey."
  • D. Canana Films
    Canana Films is a Mexican film production company known for producing socially conscious and critically acclaimed Latin American cinema.
  • E. Eagle-Lion Films
    Eagle-Lion Films was an American film production and distribution company active in the late 1940s, best known for its low-budget features and notable film noir titles.
  • 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_69d7e8c36c188190bfa4d5f8e6cbbbea completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4971d537c8190ab53a2ca18d643f3 completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.