Triple

T19095474
Position Surface form Disambiguated ID Type / Status
Subject A Royal Affair E467392 entity
Predicate cinematographyBy P1953 FINISHED
Object Rasmus Videbæk 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: Rasmus Videbæk | Statement: [A Royal Affair, cinematographyBy, Rasmus Videbæk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rasmus Videbæk
Context triple: [A Royal Affair, cinematographyBy, Rasmus Videbæk]
  • A. Rasmus Videbæk chosen
    Rasmus Videbæk is a Danish cinematographer known for his work on international films and television, including the 2017 adaptation of Stephen King’s "The Dark Tower."
  • B. Rasmus Christensen
    Rasmus Christensen is a Danish professional footballer known for playing as a defender in European club competitions.
  • C. Rasmus Hedegaard
    Rasmus Hedegaard is a Danish DJ and music producer known for his electronic and pop-oriented remixes and collaborations.
  • D. Erik Brøndum
    Erik Brøndum was a Danish innkeeper and merchant in Skagen, best known as the father of painter Anna Ancher and as a central figure in the artistic milieu around Brøndum's Hotel.
  • E. Rasmus Heisterberg
    Rasmus Heisterberg is a Danish screenwriter and filmmaker known for his work on acclaimed Nordic crime thrillers and literary adaptations.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e368f20c8190bd84d2ba320991ac completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.