Triple

T9970291
Position Surface form Disambiguated ID Type / Status
Subject Take This Waltz E196184 entity
Predicate distributor P1951 FINISHED
Object Mongrel Media E831812 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: Mongrel Media | Statement: [Take This Waltz, distributor, Mongrel Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mongrel Media
Context triple: [Take This Waltz, distributor, Mongrel Media]
  • A. Mongrel Media chosen
    Mongrel Media is a Canadian independent film distribution company known for releasing art-house, foreign, and critically acclaimed films.
  • B. Blue Lion Entertainment
    Blue Lion Entertainment is a film and television production company known for developing and producing screen content such as the project "The Insider."
  • C. Peregrine Productions
    Peregrine Productions is a film production company best known for its involvement in creating Stanley Kubrick’s 1980 horror classic "The Shining."
  • D. Applehead Pictures
    Applehead Pictures is a film production company best known for producing the romantic drama "Letters to Juliet."
  • E. Parkfield Entertainment
    Parkfield Entertainment is a British film and television production company known for producing crime and gangster-related content, including works about the notorious Kray twins.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257c9f6cc81908256dc1e8d6c3fea completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:48 p.m.