Triple

T6021043
Position Surface form Disambiguated ID Type / Status
Subject Bjørn Arild Gram E134063 entity
Predicate givenName P17 FINISHED
Object Bjørn Arild
Bjørn Arild is a Norwegian politician best known for serving as Norway’s Minister of Defence.
 E565698 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: Bjørn Arild | Statement: [Bjørn Arild Gram, givenName, Bjørn Arild]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bjørn Arild
Context triple: [Bjørn Arild Gram, givenName, Bjørn Arild]
  • A. Arne Eide
    Arne Eide was a Norwegian architect best known for designing Kongsseteren, the royal lodge used by the Norwegian royal family.
  • B. Sjur Lie
    Sjur Lie is a Norwegian mathematician known for his contributions to differential geometry and the theory of Lie groups.
  • C. Svein Stølen
    Svein Stølen is a Norwegian chemist and academic leader who serves as the rector of the University of Oslo.
  • D. Torbjørn Sikkeland
    Torbjørn Sikkeland was a Norwegian-American physicist known for his role in the discovery of the synthetic element lawrencium at Lawrence Berkeley National Laboratory.
  • E. Arild Remmereit
    Arild Remmereit is a Norwegian conductor known for his international guest appearances and his tenure as music director of the Rochester Philharmonic Orchestra.
  • 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: Bjørn Arild
Triple: [Bjørn Arild Gram, givenName, Bjørn Arild]
Generated description
Bjørn Arild is a Norwegian politician best known for serving as Norway’s Minister of Defence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bjørn Arild
Target entity description: Bjørn Arild is a Norwegian politician best known for serving as Norway’s Minister of Defence.
  • A. Arne Eide
    Arne Eide was a Norwegian architect best known for designing Kongsseteren, the royal lodge used by the Norwegian royal family.
  • B. Sjur Lie
    Sjur Lie is a Norwegian mathematician known for his contributions to differential geometry and the theory of Lie groups.
  • C. Svein Stølen
    Svein Stølen is a Norwegian chemist and academic leader who serves as the rector of the University of Oslo.
  • D. Torbjørn Sikkeland
    Torbjørn Sikkeland was a Norwegian-American physicist known for his role in the discovery of the synthetic element lawrencium at Lawrence Berkeley National Laboratory.
  • E. Arild Remmereit
    Arild Remmereit is a Norwegian conductor known for his international guest appearances and his tenure as music director of the Rochester Philharmonic Orchestra.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fba86a48190984e95d5adf7c7f1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11ce9ea008190bc9056ee1822fd0f completed March 23, 2026, 10:58 a.m.
NEDg Description generation batch_69c11d91ddec819088e0c3988a4ba5b4 completed March 23, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69c11e2da4408190a0b32a2712cb77df completed March 23, 2026, 11:04 a.m.
Created at: March 22, 2026, 4:07 p.m.