Triple

T20666809
Position Surface form Disambiguated ID Type / Status
Subject A Walk to Remember E507913 entity
Predicate productionCompany P490 FINISHED
Object Di Novi Pictures 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: Di Novi Pictures | Statement: [A Walk to Remember, productionCompany, Di Novi Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Di Novi Pictures
Context triple: [A Walk to Remember, productionCompany, Di Novi Pictures]
  • A. Di Novi Pictures chosen
    Di Novi Pictures is an American film production company founded by producer Denise Di Novi, known for its work on character-driven dramas and literary adaptations.
  • B. 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."
  • C. Cinelou Films
    Cinelou Films is an independent American film production company known for producing character-driven dramas such as the 2014 film "Cake."
  • D. Arcola Pictures
    Arcola Pictures is a film production company best known for producing the 1967 crime drama "Tony Rome" starring Frank Sinatra.
  • E. Dimension Pictures
    Dimension Pictures was an American independent film production and distribution company known for releasing low-budget exploitation and genre films in the 1970s.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c39dd48190965d65537592aef6 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.