Triple

T7714676
Position Surface form Disambiguated ID Type / Status
Subject The Dark Tower (2017 film) E174850 entity
Predicate cinematographyBy P1953 FINISHED
Object Rasmus Videbæk
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."
E683366 NE FINISHED

How this triple was built (4 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: [The Dark Tower (2017 film), cinematographyBy, Rasmus Videbæk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rasmus Videbæk
Context triple: [The Dark Tower (2017 film), cinematographyBy, Rasmus Videbæk]
  • A. Rasmus Christensen
    Rasmus Christensen is a Danish professional footballer known for playing as a defender in European club competitions.
  • B. Kristian Høgsberg
    Kristian Høgsberg is a Danish software engineer best known as the original creator and lead developer of the Wayland display server protocol used in Linux and other Unix-like systems.
  • C. Markus Rygaard
    Markus Rygaard is a Danish actor best known for his leading role as a troubled schoolboy in the Oscar-winning film "In a Better World."
  • D. Mikkel Svane
    Mikkel Svane is a Danish entrepreneur best known as the co-founder and longtime CEO of the customer service software company Zendesk.
  • E. Peter Høj
    Peter Høj is an Australian academic and university leader who has served as vice-chancellor at several major universities, including the University of Adelaide.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rasmus Videbæk
Triple: [The Dark Tower (2017 film), cinematographyBy, Rasmus Videbæk]
Generated description
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."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rasmus Videbæk
Target entity description: 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."
  • A. Rasmus Christensen
    Rasmus Christensen is a Danish professional footballer known for playing as a defender in European club competitions.
  • B. Kristian Høgsberg
    Kristian Høgsberg is a Danish software engineer best known as the original creator and lead developer of the Wayland display server protocol used in Linux and other Unix-like systems.
  • C. Markus Rygaard
    Markus Rygaard is a Danish actor best known for his leading role as a troubled schoolboy in the Oscar-winning film "In a Better World."
  • D. Mikkel Svane
    Mikkel Svane is a Danish entrepreneur best known as the co-founder and longtime CEO of the customer service software company Zendesk.
  • E. Peter Høj
    Peter Høj is an Australian academic and university leader who has served as vice-chancellor at several major universities, including the University of Adelaide.
  • F. None of above. chosen

Provenance (5 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ca8f048190a6ea27b8cee2f93e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acd5e32c8190869834b21aeae8a7 completed March 29, 2026, 4:38 a.m.
NEDg Description generation batch_69c8ae0383688190be1dbd27262fe717 completed March 29, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69c8ae85027c81908a7871ebcb0d27bd completed March 29, 2026, 4:45 a.m.
Created at: March 27, 2026, 4:04 p.m.