Triple

T10364486
Position Surface form Disambiguated ID Type / Status
Subject Zentropa E244217 entity
Predicate hasDivision P35 FINISHED
Object Zentropa Entertainments E296164 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: Zentropa Entertainments | Statement: [Zentropa, hasDivision, Zentropa Entertainments]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zentropa Entertainments
Context triple: [Zentropa, hasDivision, Zentropa Entertainments]
  • A. Zentropa Entertainments chosen
    Zentropa Entertainments is a Danish film production company co-founded by director Lars von Trier, known for producing innovative and often provocative European cinema.
  • B. EuropaCorp
    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.
  • C. Skreba Films
    Skreba Films is a film production company known for producing the biographical drama "Tom & Viv."
  • D. 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.
  • E. Allegro Films
    Allegro Films is a film production company known for producing feature films such as the 1997 movie "Trucks."
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e964a53c8190b748e80850e96656 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7953ba52881908d6d7e5b099c12d2 completed April 9, 2026, 12:02 p.m.
Created at: April 6, 2026, noon