Triple

T895819
Position Surface form Disambiguated ID Type / Status
Subject Jonas Gahr Støre E19343 entity
Predicate name P16 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: [Jonas Gahr Støre, name, Jonas Gahr Støre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jonas Gahr Støre
Context triple: [Jonas Gahr Støre, name, 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. Jens Stoltenberg
    Jens Stoltenberg is a Norwegian politician who served as Norway’s prime minister and later became the secretary general of NATO.
  • C. Thorbjørn Jagland
    Thorbjørn Jagland is a Norwegian politician and diplomat who has served as Norway’s prime minister, foreign minister, and as Secretary General of the Council of Europe.
  • D. Håkon Wium Lie
    Håkon Wium Lie is a Norwegian web pioneer best known as the creator of Cascading Style Sheets (CSS) and a key figure in the development of open web standards.
  • E. Sjur Lie
    Sjur Lie is a Norwegian mathematician known for his contributions to differential geometry and the theory of Lie groups.
  • 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad23d6e88190a2fb5e1e168a7b44 completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c02772208190ac86dd885728e89c completed March 4, 2026, 5:16 a.m.
Created at: March 1, 2026, 7:39 p.m.