Triple

T17095433
Position Surface form Disambiguated ID Type / Status
Subject Martin Wallström E414835 entity
Predicate familyName P18 FINISHED
Object Wallström E680270 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: Wallström | Statement: [Martin Wallström, familyName, Wallström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wallström
Context triple: [Martin Wallström, familyName, Wallström]
  • A. Wallström chosen
    Wallström is a Swedish surname most prominently associated with politician and former European Union Commissioner Margot Wallström.
  • B. Eva Åkesson
    Eva Åkesson is a Swedish chemist and academic leader who served as the first female rector (vice-chancellor) of Uppsala University.
  • C. Cecilia Malmström
    Cecilia Malmström is a Swedish politician and diplomat best known for serving as European Commissioner for Trade and previously for Home Affairs in the European Commission.
  • D. Magdalena Andersson
    Magdalena Andersson is a Swedish economist and politician who served as Sweden’s first female prime minister and leader of the Swedish Social Democratic Party.
  • E. Ingrid Ylva
    Ingrid Ylva was a Swedish noblewoman of the early 13th century, traditionally regarded as a powerful and influential matriarch of the House of Bjelbo.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfc9158819081689d3d594a1908 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eedfd7c8190b267dedd403f5f2b completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.