Triple

T14641753
Position Surface form Disambiguated ID Type / Status
Subject The Last Airbender E343740 entity
Predicate productionCompany P490 FINISHED
Object Blinding Edge Pictures E340308 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: Blinding Edge Pictures | Statement: [The Last Airbender, productionCompany, Blinding Edge Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blinding Edge Pictures
Context triple: [The Last Airbender, 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. Ombra Films
    Ombra Films is a film production company known for working on action and thriller movies, including the crime thriller "Run All Night."
  • D. WestEnd Films
    WestEnd Films is a London-based international sales and production company specializing in independent feature films.
  • E. Blinder Films
    Blinder Films is an Irish film and television production company known for producing independent and genre-bending features and series.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4e80aa48190884bab800f357106 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d404e881908d26e684702ae122 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:26 a.m.