Triple

T942364
Position Surface form Disambiguated ID Type / Status
Subject Jens Stoltenberg E20334 entity
Predicate name P16 FINISHED
Object Jens Stoltenberg E20334 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: Jens Stoltenberg | Statement: [Jens Stoltenberg, name, Jens Stoltenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jens Stoltenberg
Context triple: [Jens Stoltenberg, name, Jens Stoltenberg]
  • A. Jens Stoltenberg chosen
    Jens Stoltenberg is a Norwegian politician who served as Norway’s prime minister and later became the secretary general of NATO.
  • B. Jonas Gahr Støre
    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.
  • 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_69a493b0270c81909e6c9ce310f6aa55 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3a1a4888190997adf56eb761431 completed March 1, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826e585208190bf477bf78d162e84 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:40 p.m.