Triple

T15191242
Position Surface form Disambiguated ID Type / Status
Subject Ingegerd Olofsdotter E363014 entity
Predicate patronymicName P7966 FINISHED
Object Olofsdotter E363014 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: Olofsdotter | Statement: [Ingegerd Olofsdotter, patronymicName, Olofsdotter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olofsdotter
Context triple: [Ingegerd Olofsdotter, patronymicName, Olofsdotter]
  • A. Ingegerd Olofsdotter chosen
    Ingegerd Olofsdotter was an 11th-century Swedish princess who became Grand Princess of Kiev and a significant political figure in medieval Northern and Eastern Europe.
  • B. Karin Månsdotter
    Karin Månsdotter was a 16th-century Swedish queen consort of humble origins who became the second wife of King Eric XIV of Sweden.
  • C. Maria Persdotter
    Maria Persdotter was the wife of prominent Swedish Baroque architect Nicodemus Tessin the Elder.
  • D. Thilde
    Thilde is a feminine given name, often used as a short form of names like Mathilde or Matilde in various European countries.
  • E. Ulrika Wolf-Knuts
    Ulrika Wolf-Knuts is a Finnish folklorist and academic who has served as chancellor of Åbo Akademi University.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067d55ac8190b7a7fce36e6ddf3c completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3304464819083732a23e650c649 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.