Triple

T22094752
Position Surface form Disambiguated ID Type / Status
Subject Fandango Media E545995 entity
Predicate owns P347 FINISHED
Object FandangoNOW 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: FandangoNOW | Statement: [Fandango Media, owns, FandangoNOW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FandangoNOW
Context triple: [Fandango Media, owns, FandangoNOW]
  • A. Fandango Media chosen
    Fandango Media is an American entertainment company best known for its online movie ticketing services and ownership of several film and TV review and streaming platforms.
  • B. Movies on Demand
    Movies on Demand is a film or video project associated with the band Consequence, likely serving as a notable visual or multimedia extension of their music.
  • C. Kanopy
    Kanopy is a streaming video platform that provides on-demand access to films and documentaries, typically through public libraries and educational institutions.
  • D. FilmStruck
    FilmStruck was a subscription-based streaming service specializing in classic, arthouse, and independent films, including titles from the Criterion Collection.
  • E. Flix
    Flix is a small municipality in Catalonia, Spain, known for its location along a bend of the Ebro River and its historical industrial and hydroelectric activities.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e82c1481908701f255b834f192 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.