Triple

T21851275
Position Surface form Disambiguated ID Type / Status
Subject Manderlay E539509 entity
Predicate producer P490 FINISHED
Object Vibeke Windeløv NE NERFINISHED

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: Vibeke Windeløv | Statement: [Manderlay, producer, Vibeke Windeløv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vibeke Windeløv
Context triple: [Manderlay, producer, Vibeke Windeløv]
  • A. Vibeke Windeløv chosen
    Vibeke Windeløv is a Danish film producer best known for her long-time collaboration with director Lars von Trier on several acclaimed art-house films.
  • B. Birgitte Hjort Sørensen
    Birgitte Hjort Sørensen is a Danish actress known for her roles in the political drama series "Borgen" and various international film and television productions.
  • C. Gitte Nielsen
    Gitte Nielsen is a Danish actress, model, and television personality best known for her roles in 1980s films such as "Red Sonja" and "Rocky IV."
  • D. Margrethe Backer
    Margrethe Backer was a Norwegian woman known primarily as the mother of police chief and writer Kristian Welhaven.
  • E. Lene Bausager
    Lene Bausager is a film producer best known for her work on the Academy Award–nominated short film "Cashback."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c476c3c88190a92d08ebb59a128a completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0bd5904108190af67609a9ab8616e completed April 28, 2026, 1:59 p.m.
Created at: April 16, 2026, 6:56 p.m.