Triple

T5176696
Position Surface form Disambiguated ID Type / Status
Subject Camilla Stoltenberg E116815 entity
Predicate sibling P363 FINISHED
Object Nini Stoltenberg E500644 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: Nini Stoltenberg | Statement: [Camilla Stoltenberg, sibling, Nini Stoltenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nini Stoltenberg
Context triple: [Camilla Stoltenberg, sibling, Nini Stoltenberg]
  • A. Nini Stoltenberg chosen
    Nini Stoltenberg was a Norwegian television personality and public debater known for her candid discussions of drug addiction and social issues.
  • B. Erna Solberg
    Erna Solberg is a Norwegian politician who served as Prime Minister of Norway and leader of the Conservative Party.
  • C. Karin Stoltenberg
    Karin Stoltenberg was a Norwegian geneticist and civil servant known for her influential work in public policy and as the mother of former NATO Secretary General Jens Stoltenberg.
  • D. Jens Stoltenberg
    Jens Stoltenberg is a Norwegian politician who served as Norway’s prime minister and later became the secretary general of NATO.
  • E. Camilla Stoltenberg
    Camilla Stoltenberg is a Norwegian physician and public health researcher who has served as director-general of the Norwegian Institute of Public Health.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7974a5308190819b100e07189131 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf486fb3f48190a07829bcb9d0f521 completed March 22, 2026, 1:39 a.m.
Created at: March 20, 2026, 1:45 p.m.