Triple

T2215194
Position Surface form Disambiguated ID Type / Status
Subject In a Better World E48014 entity
Predicate cinematographyBy P1953 FINISHED
Object Morten Søborg
Morten Søborg is a Danish cinematographer known for his visually striking work on acclaimed films such as "In a Better World."
E244210 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: Morten Søborg | Statement: [In a Better World, cinematographyBy, Morten Søborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morten Søborg
Context triple: [In a Better World, cinematographyBy, Morten Søborg]
  • A. Ingvard Eversen Nielsen
    Ingvard Eversen Nielsen was the father of Canadian-American actor and comedian Leslie Nielsen.
  • B. Svein Stølen
    Svein Stølen is a Norwegian chemist and academic leader who serves as the rector of the University of Oslo.
  • C. Trond Giaever
    Trond Giaever is the child of Norwegian-American physicist and Nobel laureate Ivar Giaever.
  • D. Morten Lie
    Morten Lie is a person notable enough to be recognized as a bearer of the surname Lie, though specific widely known public details about him are limited.
  • E. Jan Christian Vestre
    Jan Christian Vestre is a Norwegian Labour Party politician and businessman who has served as Norway’s Minister of Trade and Industry.
  • 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: Morten Søborg
Triple: [In a Better World, cinematographyBy, Morten Søborg]
Generated description
Morten Søborg is a Danish cinematographer known for his visually striking work on acclaimed films such as "In a Better World."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Morten Søborg
Target entity description: Morten Søborg is a Danish cinematographer known for his visually striking work on acclaimed films such as "In a Better World."
  • A. Ingvard Eversen Nielsen
    Ingvard Eversen Nielsen was the father of Canadian-American actor and comedian Leslie Nielsen.
  • B. Svein Stølen
    Svein Stølen is a Norwegian chemist and academic leader who serves as the rector of the University of Oslo.
  • C. Trond Giaever
    Trond Giaever is the child of Norwegian-American physicist and Nobel laureate Ivar Giaever.
  • D. Morten Lie
    Morten Lie is a person notable enough to be recognized as a bearer of the surname Lie, though specific widely known public details about him are limited.
  • E. Jan Christian Vestre
    Jan Christian Vestre is a Norwegian Labour Party politician and businessman who has served as Norway’s Minister of Trade and Industry.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbff11574819091d1b50d637ae767 completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65571b9481908f992cee85ee59eb completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae66411d848190a529018ad3765597 completed March 9, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_69ae66a8cd9881908df2873e6159f293 completed March 9, 2026, 6:20 a.m.
Created at: March 4, 2026, 7:46 p.m.