Triple

T9854883
Position Surface form Disambiguated ID Type / Status
Subject Transporter 2 E239557 entity
Predicate productionCompany P490 FINISHED
Object EuropaCorp E275931 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: EuropaCorp | Statement: [Transporter 2, productionCompany, EuropaCorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EuropaCorp
Context triple: [Transporter 2, productionCompany, EuropaCorp]
  • A. EuropaCorp chosen
    EuropaCorp is a French film production and distribution company founded by filmmaker Luc Besson, known for producing action and thriller movies such as the "Taxi" and "Taken" franchises.
  • B. Zentropa Entertainments
    Zentropa Entertainments is a Danish film production company co-founded by director Lars von Trier, known for producing innovative and often provocative European cinema.
  • C. Universum Film AG
    Universum Film AG (UFA) is a historic German film production and distribution company, especially prominent during the Weimar Republic era for its influential silent and early sound films.
  • D. Alcor Films
    Alcor Films is a film production company best known for producing the 1994 legal thriller "The Client."
  • E. Eon Productions
    Eon Productions is a British film production company best known for producing the long-running James Bond movie franchise.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3960fb481909c90d6d6cafc6222 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5f5b6148190bcccebd0aefb4bc9 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.