Triple

T20881707
Position Surface form Disambiguated ID Type / Status
Subject Göran Gustafsson Foundation E514167 entity
Predicate namedAfter P63 FINISHED
Object Göran Gustafsson 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: Göran Gustafsson | Statement: [Göran Gustafsson Foundation, namedAfter, Göran Gustafsson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Göran Gustafsson
Context triple: [Göran Gustafsson Foundation, namedAfter, Göran Gustafsson]
  • A. Göran Gustafsson chosen
    Göran Gustafsson was a Swedish entrepreneur and philanthropist known for his significant contributions to scientific research funding.
  • B. Göran Hägglund
    Göran Hägglund is a Swedish Christian Democrat politician who served as Minister for Health and Social Affairs and leader of the Christian Democrats.
  • C. Göran Andersson
    Göran Andersson is a Swedish academic and engineer known for his contributions to electric power systems and energy technology.
  • D. Göran Månsson
    Göran Månsson is a Swedish architect best known for designing Stockholm’s renowned Vasa Museum, which houses the 17th-century warship Vasa.
  • E. Göran Malmqvist
    Göran Malmqvist was a Swedish sinologist, literary historian, translator, and member of the Swedish Academy known for his influential work on Chinese language and literature.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67a33548190b0f5ba58b001d387 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.