Triple

T8616916
Position Surface form Disambiguated ID Type / Status
Subject Jan Björklund E204061 entity
Predicate name P16 FINISHED
Object Jan Björklund E204061 NE FINISHED

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: Jan Björklund | Statement: [Jan Björklund, name, Jan Björklund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Björklund
Context triple: [Jan Björklund, name, Jan Björklund]
  • A. Jan Björklund chosen
    Jan Björklund is a Swedish politician and former leader of the Liberal Party who served as Sweden’s Minister for Education and Deputy Prime Minister.
  • B. Andreas Norlén
    Andreas Norlén is a Swedish politician who serves as the Speaker of the Riksdag, Sweden’s national legislature.
  • C. Janne Jönsson
    Janne Jönsson is a Swedish football manager and former player best known for his successful spell in charge of Norwegian club Stabæk Fotball.
  • D. Anders Hagfeldt
    Anders Hagfeldt is a Swedish chemist and academic leader known for his research in solar cell technology and his role as a university administrator.
  • E. Jesper Mattsson
    Jesper Mattsson is a Swedish former professional ice hockey forward known for his long career in the Swedish leagues and contributions to teams like Malmö Redhawks and the national team.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4711c7748190af26ff5a78ef66a2 completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5148add48190bd2849d607e46c77 completed April 3, 2026, 5:34 a.m.
Created at: March 30, 2026, 6:25 p.m.