Triple

T20747826
Position Surface form Disambiguated ID Type / Status
Subject Valgerd Svarstad Haugland E510633 entity
Predicate name P16 FINISHED
Object Valgerd Svarstad Haugland NE NERFINISHED

How this triple was built (2 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: Valgerd Svarstad Haugland | Statement: [Valgerd Svarstad Haugland, name, Valgerd Svarstad Haugland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valgerd Svarstad Haugland
Context triple: [Valgerd Svarstad Haugland, name, Valgerd Svarstad Haugland]
  • A. Valgerd Svarstad Haugland chosen
    Valgerd Svarstad Haugland is a Norwegian politician who led the Christian Democratic Party and has served as a government minister and prominent public figure in Norway.
  • B. Olaug Bollestad
    Olaug Bollestad is a Norwegian politician who has led the Christian Democratic Party and served as a government minister.
  • C. Inger Skramstad
    Inger Skramstad is known as the spouse of Norwegian-American physicist and Nobel laureate Ivar Giaever.
  • D. Siv Høgtun
    Siv Høgtun is a Norwegian local politician who serves as the mayor of Askøy, an island municipality near Bergen in Western Norway.
  • E. Wenche Jenssen
    Wenche Jenssen is a person notable enough to be recognized as a distinguished bearer of the surname Jenssen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c226fbf881909794eff3ee9e206b completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.