Triple

T6730649
Position Surface form Disambiguated ID Type / Status
Subject Without a Paddle E153624 entity
Predicate productionCompany P490 FINISHED
Object De Line Pictures E250962 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: De Line Pictures | Statement: [Without a Paddle, productionCompany, De Line Pictures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Line Pictures
Context triple: [Without a Paddle, productionCompany, De Line Pictures]
  • A. De Line Pictures chosen
    De Line Pictures is a film production company known for producing major Hollywood movies, including the 2003 remake of "The Italian Job."
  • B. BorderLine Films
    BorderLine Films is an independent film production company known for producing dark, character-driven dramas and psychological thrillers.
  • C. Dendy Films
    Dendy Films is an Australian film distribution company known for releasing independent, arthouse, and international cinema.
  • D. Arwin Productions
    Arwin Productions was a film and television production company best known for producing mid-20th-century American comedies, including the classic romantic comedy "Pillow Talk."
  • E. Imagine Films
    Imagine Films is a film production division associated with the American entertainment company Imagine Entertainment, known for developing and producing motion pictures.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16897e48190b43eda2206b14d6a completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b029960819090de37c99e80ceb9 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:09 p.m.