Triple

T11460216
Position Surface form Disambiguated ID Type / Status
Subject Vilhelm Blomgren E271634 entity
Predicate notableWork P4 FINISHED
Object Gösta E503869 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: Gösta | Statement: [Vilhelm Blomgren, notableWork, Gösta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gösta
Context triple: [Vilhelm Blomgren, notableWork, Gösta]
  • A. Gösta chosen
    Gösta is a masculine given name of Swedish origin, notably borne by the mathematician Gösta Mittag-Leffler.
  • B. Göran
    Göran is a Swedish masculine given name, commonly used in Sweden and borne by various notable figures.
  • C. Göran Kropp
    Göran Kropp was a Swedish adventurer and mountaineer best known for cycling from Sweden to Mount Everest, summiting without supplemental oxygen, and then cycling back.
  • D. Gyllensten
    Gyllensten is a Swedish surname most notably associated with Lars Gyllensten, a prominent author and former member of the Swedish Academy.
  • E. Pehr
    Pehr is a masculine given name of Scandinavian origin, notably borne by Finnish statesman P. E. Svinhufvud.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f384f08190b1150ed1389dd31a completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e91f1bb881909a9c36d837e4059b completed April 20, 2026, 8:51 a.m.
Created at: April 8, 2026, 9:35 p.m.