Triple

T12078210
Position Surface form Disambiguated ID Type / Status
Subject Kon-Tiki (2012 film) E287605 entity
Predicate productionCompany P490 FINISHED
Object Nordisk Film E244212 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: Nordisk Film | Statement: [Kon-Tiki (2012 film), productionCompany, Nordisk Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordisk Film
Context triple: [Kon-Tiki (2012 film), productionCompany, Nordisk Film]
  • A. Nordisk Film chosen
    Nordisk Film is a major Danish entertainment company and one of the world’s oldest film studios, known for producing and distributing films across the Nordic region.
  • B. Svensk Filmindustri
    Svensk Filmindustri is a major Swedish film production and distribution company, historically one of the country’s most influential studios.
  • C. Norsk Film
    Norsk Film was a major Norwegian film production company that played a central role in the country’s cinema industry throughout much of the 20th century.
  • D. Nordisk Film Cinemas
    Nordisk Film Cinemas is a major Scandinavian cinema chain operating movie theaters primarily in Denmark and Norway under the ownership of Nordisk Film.
  • E. Bavaria Film
    Bavaria Film is a major German film production and studio company known for producing numerous acclaimed movies and television series.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9045e81f88190be2b1aabd93f077c completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f66301f081909697f9dd444a099e completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.