Triple

T17766066
Position Surface form Disambiguated ID Type / Status
Subject Anna Söderblom E443507 entity
Predicate name P16 FINISHED
Object Anna Söderblom 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: Anna Söderblom | Statement: [Anna Söderblom, name, Anna Söderblom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Söderblom
Context triple: [Anna Söderblom, name, Anna Söderblom]
  • A. Anna Söderblom chosen
    Anna Söderblom was the wife of Swedish archbishop and Nobel Peace Prize laureate Nathan Söderblom and a prominent figure in Swedish ecclesiastical and cultural life in the early 20th century.
  • B. Selma Lagerlöf
    Selma Lagerlöf was a Swedish author, Nobel Prize in Literature laureate, and pioneering female novelist best known for works such as "Gösta Berlings saga" and "The Wonderful Adventures of Nils."
  • C. Birgitta Dahl
    Birgitta Dahl is a Swedish Social Democratic politician who served as Speaker of the Riksdag and was a prominent figure in Sweden’s late 20th-century political landscape.
  • D. Fanny Lönnbohm
    Fanny Lönnbohm was the wife of renowned Finnish poet and journalist Eino Leino.
  • E. Greta Moberg
    Greta Moberg was the wife of renowned Swedish author Vilhelm Moberg, known primarily in relation to his life and literary career.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fc03e48190a8044e1b40f66f20 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.