Triple

T20387770
Position Surface form Disambiguated ID Type / Status
Subject The Happening E498001 entity
Predicate productionCompany P490 FINISHED
Object Blinding Edge 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: Blinding Edge Pictures | Statement: [The Happening, productionCompany, Blinding Edge Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blinding Edge Pictures
Context triple: [The Happening, productionCompany, Blinding Edge Pictures]
  • A. Blinding Edge Pictures chosen
    Blinding Edge Pictures is a film and television production company founded by filmmaker M. Night Shyamalan, known for producing his suspense and thriller projects.
  • B. Rogue Pictures
    Rogue Pictures is an American film production and distribution company known for releasing genre and mid-budget movies, particularly in the horror and thriller categories.
  • C. Wicked Pictures
    Wicked Pictures is an American adult film production company known for its high-budget, story-driven pornography and prominent contract performers.
  • D. Ombra Films
    Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
  • E. WestEnd Films
    WestEnd Films is a London-based international sales and production company specializing in independent feature films.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790c935881908f901d058e6a83a9 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.