Triple

T5532936
Position Surface form Disambiguated ID Type / Status
Subject Overdrive E145091 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: [Overdrive, productionCompany, EuropaCorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EuropaCorp
Context triple: [Overdrive, 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. Eon Productions
    Eon Productions is a British film production company best known for producing the long-running James Bond movie franchise.
  • D. Constantin Film
    Constantin Film is a German film production and distribution company known for producing a wide range of international films, including major genre franchises.
  • E. Carnival Films
    Carnival Films is a British television and film production company best known internationally for creating the period drama series "Downton Abbey."
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9ea2c88190a68642f5799bd8ff completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0280cb42c8190bf5ba546aca5edce completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:34 p.m.