Triple

T10230330
Position Surface form Disambiguated ID Type / Status
Subject Eva Åkesson E243322 entity
Predicate name P16 FINISHED
Object Eva Åkesson E243322 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: Eva Åkesson | Statement: [Eva Åkesson, name, Eva Åkesson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eva Åkesson
Context triple: [Eva Åkesson, name, Eva Åkesson]
  • A. Eva Åkesson chosen
    Eva Åkesson is a Swedish chemist and academic leader who served as the first female rector (vice-chancellor) of Uppsala University.
  • B. Karin Söder
    Karin Söder was a Swedish Centre Party politician who became one of Sweden’s first female party leaders and served as Minister for Foreign Affairs.
  • C. Ingrid Ylva
    Ingrid Ylva was a Swedish noblewoman of the early 13th century, traditionally regarded as a powerful and influential matriarch of the House of Bjelbo.
  • D. Gunnel Bildt
    Gunnel Bildt is a member of the prominent Swedish Bildt family, known primarily as a daughter of former Swedish Prime Minister Carl Bildt.
  • E. Petra Mede
    Petra Mede is a Swedish comedian and television presenter best known internationally for hosting the Eurovision Song Contest and multiple editions of Sweden’s Melodifestivalen.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d20a25dc8190bd448f7ba7a13cbd completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f73610fc8190965c4e45a9deeac6 completed April 9, 2026, 12:47 a.m.
Created at: April 6, 2026, 11:19 a.m.