Triple

T8010190
Position Surface form Disambiguated ID Type / Status
Subject Bjørn Kjos E186468 entity
Predicate familyName P18 FINISHED
Object Kjos
Kjos is a Norwegian surname most notably associated with Bjørn Kjos, the founder and former CEO of Norwegian Air Shuttle.
 E707316 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: Kjos | Statement: [Bjørn Kjos, familyName, Kjos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kjos
Context triple: [Bjørn Kjos, familyName, Kjos]
  • A. Kvam
    Kvam is a municipality in Vestland county, western Norway, known for its scenic location along the Hardangerfjord and traditional fruit farming.
  • B. Kvikne
    Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • C. Jogne
    Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
  • D. Kortessem
    Kortessem is a small municipality in the Belgian province of Limburg, known for its rural character and historic churches and castles.
  • E. Ulsrud
    Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
  • 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: Kjos
Triple: [Bjørn Kjos, familyName, Kjos]
Generated description
Kjos is a Norwegian surname most notably associated with Bjørn Kjos, the founder and former CEO of Norwegian Air Shuttle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kjos
Target entity description: Kjos is a Norwegian surname most notably associated with Bjørn Kjos, the founder and former CEO of Norwegian Air Shuttle.
  • A. Kvam
    Kvam is a municipality in Vestland county, western Norway, known for its scenic location along the Hardangerfjord and traditional fruit farming.
  • B. Kvikne
    Kvikne is a rural village area in central Norway, known historically for mining and as the birthplace of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
  • C. Jogne
    Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
  • D. Kortessem
    Kortessem is a small municipality in the Belgian province of Limburg, known for its rural character and historic churches and castles.
  • E. Ulsrud
    Ulsrud is a residential neighborhood in the Østensjø borough of Oslo, Norway, known for its proximity to Ulsrudvannet lake and access to public transportation.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d70caf8819090a9f98025470c0d completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56a54e8081908208b57b7390cc95 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58ecd0608190ab0880992bc203fb completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cb791b48190bd5004b518d23f84 completed March 31, 2026, 11:45 p.m.
Created at: March 30, 2026, 5:19 p.m.