Triple

T21117019
Position Surface form Disambiguated ID Type / Status
Subject Into the White E520325 entity
Predicate cinematographer P1953 FINISHED
Object Daniel Voldheim NE NERFINISHED

How this triple was built (3 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: Daniel Voldheim | Statement: [Into the White, cinematographer, Daniel Voldheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Voldheim
Context triple: [Into the White, cinematographer, Daniel Voldheim]
  • A. Peter Vinnemeier
    Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
  • B. Leon Fromkess
    Leon Fromkess was an American film producer active during Hollywood’s studio era, known for overseeing a variety of mid-20th-century motion pictures.
  • C. Daniel Heins
    Daniel Heins is the anglicized name of Daniel Heinsius, a prominent Dutch classical scholar and poet of the early 17th century.
  • D. Daniel Nannskog
    Daniel Nannskog is a retired Swedish striker best known for his prolific goal-scoring spell at Norwegian club Stabæk Fotball and later work as a football pundit.
  • E. Daniel von Bargen
    Daniel von Bargen was an American character actor known for his authoritative and often villainous roles in film and television, including appearances in projects like "The General’s Daughter," "Seinfeld," and "Malcolm in the Middle."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daniel Voldheim
Target entity description: Daniel Voldheim is a Norwegian cinematographer known for his work on feature films such as the World War II drama "Into the White."
  • A. Peter Vinnemeier
    Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
  • B. Leon Fromkess
    Leon Fromkess was an American film producer active during Hollywood’s studio era, known for overseeing a variety of mid-20th-century motion pictures.
  • C. Daniel Heins
    Daniel Heins is the anglicized name of Daniel Heinsius, a prominent Dutch classical scholar and poet of the early 17th century.
  • D. Daniel Nannskog
    Daniel Nannskog is a retired Swedish striker best known for his prolific goal-scoring spell at Norwegian club Stabæk Fotball and later work as a football pundit.
  • E. Daniel von Bargen
    Daniel von Bargen was an American character actor known for his authoritative and often villainous roles in film and television, including appearances in projects like "The General’s Daughter," "Seinfeld," and "Malcolm in the Middle."
  • F. None of above. chosen

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_69e0b50a623881909c0bbaf4f2c055e7 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72106a3b48190a0efa51a74ae21f0 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:55 p.m.