Triple

T18258490
Position Surface form Disambiguated ID Type / Status
Subject Lavransdatter E437280 entity
Predicate relatedSurname P13741 FINISHED
Object Lavransson 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: Lavransson | Statement: [Lavransdatter, relatedSurname, Lavransson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lavransson
Context triple: [Lavransdatter, relatedSurname, Lavransson]
  • A. Lavrans chosen
    Lavrans is a central character in Sigrid Undset’s medieval Norwegian novel "Kristin Lavransdatter," known primarily as the devoted and principled father of the protagonist, Kristin.
  • B. Gyllensten
    Gyllensten is a Swedish surname most notably associated with Lars Gyllensten, a prominent author and former member of the Swedish Academy.
  • C. Lagercrantz
    Lagercrantz is a Swedish surname associated with several notable figures in literature, journalism, and public life.
  • D. Larsmo
    Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • E. Lársen
    Lársen is a variant spelling of the surname Larsen, a common Scandinavian family name typically meaning "son of Lars."
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd8879e88190893f8da7c3529496 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:34 a.m.