Triple

T6623539
Position Surface form Disambiguated ID Type / Status
Subject Støre E149736 entity
Predicate hasNotableBearer P458 FINISHED
Object Jonas Gahr Støre E19343 NE FINISHED

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: Jonas Gahr Støre | Statement: [Støre, hasNotableBearer, Jonas Gahr Støre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonas Gahr Støre
Context triple: [Støre, hasNotableBearer, Jonas Gahr Støre]
  • A. Jonas Gahr Støre chosen
    Jonas Gahr Støre is a Norwegian politician who has served as Prime Minister of Norway and is a leading figure in the country’s centre-left politics.
  • B. Thorvald Stoltenberg
    Thorvald Stoltenberg was a prominent Norwegian Labour Party politician and diplomat who served as Norway’s Minister of Defence, Minister of Foreign Affairs, and as a United Nations High Commissioner for Refugees.
  • C. Jens Stoltenberg
    Jens Stoltenberg is a Norwegian politician who served as Norway’s prime minister and later became the secretary general of NATO.
  • D. Erna Solberg
    Erna Solberg is a Norwegian politician who served as Prime Minister of Norway and leader of the Conservative Party.
  • E. Nini Stoltenberg
    Nini Stoltenberg was a Norwegian television personality and public debater known for her candid discussions of drug addiction and social issues.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7decb08190a7b1ddb95e534a6a completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44b251481909dca5ff82e1dbf0f completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:58 p.m.