Triple

T22437191
Position Surface form Disambiguated ID Type / Status
Subject Magnus Bengtsson Natt och Dag E554656 entity
Predicate patronymic P7966 FINISHED
Object Bengtsson 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: Bengtsson | Statement: [Magnus Bengtsson Natt och Dag, patronymic, Bengtsson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bengtsson
Context triple: [Magnus Bengtsson Natt och Dag, patronymic, Bengtsson]
  • A. Bengtsson chosen
    Bengtsson is a Swedish patronymic surname meaning "son of Bengt," commonly found in Sweden and among people of Swedish descent.
  • B. Bengt
    Bengt is a Scandinavian given name, commonly used in Sweden, that derives from the name Benedict.
  • C. Söderblom
    Söderblom is a Swedish surname most notably associated with Nathan Söderblom, the Nobel Peace Prize–winning Lutheran archbishop and ecumenical leader.
  • D. Bäckström
    Bäckström is a Swedish surname most prominently associated with NHL ice hockey star Nicklas Bäckström.
  • E. Bergkvist
    Bergkvist is a Swedish surname borne by various notable individuals, including athletes and public figures.
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15adf52f08190a5b592be3e68af0f completed April 29, 2026, 1:11 a.m.
Created at: April 16, 2026, 8:47 p.m.