Triple

T16986837
Position Surface form Disambiguated ID Type / Status
Subject Sophia of Sweden E412089 entity
Predicate mother P120 FINISHED
Object Margaret Leijonhufvud E260930 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: Margaret Leijonhufvud | Statement: [Sophia of Sweden, mother, Margaret Leijonhufvud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Leijonhufvud
Context triple: [Sophia of Sweden, mother, Margaret Leijonhufvud]
  • A. Margaret Leijonhufvud chosen
    Margaret Leijonhufvud was a 16th-century Swedish queen consort, married to King Gustav I Vasa and noted for her political influence and role in consolidating the Vasa dynasty.
  • B. Marie Nygren
    Marie Nygren is an American entrepreneur and community developer best known as a co-founder of Serenbe, a pioneering sustainable, wellness-focused community in Georgia.
  • C. Maud Olofsson
    Maud Olofsson is a Swedish politician who served as leader of the Centre Party and as Deputy Prime Minister of Sweden in the 2000s.
  • D. Viveca Paulin
    Viveca Paulin is a Swedish-born art auctioneer and producer best known as the longtime wife of comedian and actor Will Ferrell.
  • E. Fanny Lönnbohm
    Fanny Lönnbohm was the wife of renowned Finnish poet and journalist Eino Leino.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d27b58908190a643bcbd105b1849 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1109a081908890bbd5958c76c2 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.