Triple

T22026123
Position Surface form Disambiguated ID Type / Status
Subject Norwegian literary canon E543966 entity
Predicate includesAuthor P4244 FINISHED
Object Sigrid Undset 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: Sigrid Undset | Statement: [Norwegian literary canon, includesAuthor, Sigrid Undset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sigrid Undset
Context triple: [Norwegian literary canon, includesAuthor, Sigrid Undset]
  • A. Sigrid Undset chosen
    Sigrid Undset was a Norwegian novelist and Nobel Prize in Literature laureate best known for her medieval trilogy "Kristin Lavransdatter."
  • B. Ellinor Hamsun
    Ellinor Hamsun was a daughter of the Norwegian Nobel Prize–winning author Knut Hamsun.
  • C. Åshild Næss
    Åshild Næss is a linguist known for her work on Oceanic and Papuan languages, particularly the documentation and analysis of lesser-described languages such as Äiwoo.
  • D. Linn Ullmann
    Linn Ullmann is a Norwegian author and journalist known for her acclaimed novels and as the daughter of actress Liv Ullmann and director Ingmar Bergman.
  • E. Hanne Ørstavik
    Hanne Ørstavik is a Norwegian author best known for her psychologically intense and minimalist novels exploring themes of intimacy, isolation, and emotional vulnerability.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127cba61c8190a48ec2c1ee1315b0 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.