Triple

T19507813
Position Surface form Disambiguated ID Type / Status
Subject Meråker E488069 entity
Predicate hasNotableAthlete P10392 FINISHED
Object Marthe Kristoffersen
Marthe Kristoffersen is a Norwegian cross-country skier who has competed at the World Cup level and represented Norway in international championships.
 E1387256 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: Marthe Kristoffersen | Statement: [Meråker, hasNotableAthlete, Marthe Kristoffersen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marthe Kristoffersen
Context triple: [Meråker, hasNotableAthlete, Marthe Kristoffersen]
  • A. Eline Eriksen
    Eline Eriksen was a Danish artist’s model best known as the primary model for the iconic Little Mermaid statue in Copenhagen.
  • B. Marie Serneholt
    Marie Serneholt is a Swedish pop singer and television presenter best known as a former member of the teen pop group A-Teens.
  • C. Ingrid Knudsen
    Ingrid Knudsen is the woman targeted by a violent cult and safeguarded by tough cop Marion “Cobra” Cobretti in the 1986 action film "Cobra."
  • D. Louise Lunde
    Louise Lunde is known as the spouse of American character actor Lance Henriksen.
  • E. Hege Hansen
    Hege Hansen is a Norwegian footballer known as a forward who has played in the top tier of women's football in Norway and represented the national team.
  • 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: Marthe Kristoffersen
Triple: [Meråker, hasNotableAthlete, Marthe Kristoffersen]
Generated description
Marthe Kristoffersen is a Norwegian cross-country skier who has competed at the World Cup level and represented Norway in international championships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marthe Kristoffersen
Target entity description: Marthe Kristoffersen is a Norwegian cross-country skier who has competed at the World Cup level and represented Norway in international championships.
  • A. Eline Eriksen
    Eline Eriksen was a Danish artist’s model best known as the primary model for the iconic Little Mermaid statue in Copenhagen.
  • B. Marie Serneholt
    Marie Serneholt is a Swedish pop singer and television presenter best known as a former member of the teen pop group A-Teens.
  • C. Ingrid Knudsen
    Ingrid Knudsen is the woman targeted by a violent cult and safeguarded by tough cop Marion “Cobra” Cobretti in the 1986 action film "Cobra."
  • D. Louise Lunde
    Louise Lunde is known as the spouse of American character actor Lance Henriksen.
  • E. Hege Hansen
    Hege Hansen is a Norwegian footballer known as a forward who has played in the top tier of women's football in Norway and represented the national team.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635130e708190bb3d70e1abbade2a completed April 20, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07719e60a48190bf4c54af72900b87 completed May 15, 2026, 7:18 p.m.
NEDg Description generation batch_6a07780c685881909b3926b75baa01f2 completed May 15, 2026, 7:46 p.m.
NED2 Entity disambiguation (via description) batch_6a0778c1cfb881909ab613cd4e125120 completed May 15, 2026, 7:49 p.m.
Created at: April 10, 2026, 1:40 p.m.