Triple

T3871505
Position Surface form Disambiguated ID Type / Status
Subject House E92394 entity
Predicate productionCompany P490 FINISHED
Object Bad Hat Harry Productions E259367 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: Bad Hat Harry Productions | Statement: [House, productionCompany, Bad Hat Harry Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Hat Harry Productions
Context triple: [House, productionCompany, Bad Hat Harry Productions]
  • A. Bad Hat Harry Productions chosen
    Bad Hat Harry Productions is a film and television production company founded by director Bryan Singer, known for producing projects such as the historical thriller "Valkyrie" and several of Singer’s other major works.
  • B. Bedlam Productions
    Bedlam Productions is a British film production company best known for producing the Academy Award–winning historical drama "The King’s Speech."
  • C. Green Hat Films
    Green Hat Films is a film production company best known for producing the hit comedy movie "The Hangover."
  • D. Closet to the Hole Productions
    Closet to the Hole Productions is a film production company known for its work on the biographical sports drama "The Fighter."
  • E. Outlaw Productions
    Outlaw Productions is a film and television production company known for producing a range of Hollywood genre movies and commercial features.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec54b0848190a8d4a0e4df7b6227 completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51249f1ec8190a1f6cc191bc94421 completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.