Triple

T13728479
Position Surface form Disambiguated ID Type / Status
Subject Nymphomaniac E329726 entity
Predicate distributor P1951 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: [Nymphomaniac, distributor, Nordisk Film]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordisk Film
Context triple: [Nymphomaniac, distributor, 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. Astra Film Company
    Astra Film Company was an early 20th-century American silent film production studio known for its popular serials and melodramas.
  • E. 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.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f746cc8190abde237bbb7e6c78 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d6302e081908e2680443852d9fd completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.