Triple

T18851280
Position Surface form Disambiguated ID Type / Status
Subject Stefan Löfven E461045 entity
Predicate replacedBy P101 FINISHED
Object Magdalena Andersson 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: Magdalena Andersson | Statement: [Stefan Löfven, replacedBy, Magdalena Andersson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magdalena Andersson
Context triple: [Stefan Löfven, replacedBy, Magdalena Andersson]
  • A. Magdalena Andersson chosen
    Magdalena Andersson is a Swedish economist and politician who served as Sweden’s first female prime minister and leader of the Swedish Social Democratic Party.
  • B. Karin Hansson
    Karin Hansson is known primarily as the daughter of Swedish Prime Minister Per Albin Hansson.
  • C. Annie Lööf
    Annie Lööf is a Swedish politician and former leader of the Centre Party, known for her liberal-centrist stance and prominent role in national politics.
  • D. Kristina Edström
    Kristina Edström is a Swedish chemist and professor renowned for her research on battery technology and energy storage materials.
  • E. Marie Kjellson
    Marie Kjellson is a Swedish film producer best known for her work on acclaimed art-house and independent films, including Ruben Östlund’s "Force Majeure."
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c05995e88190b189864fcbda68e5 completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:56 a.m.