Triple

T1234788
Position Surface form Disambiguated ID Type / Status
Subject Sigrid Undset E26522 entity
Predicate hasChild P369 FINISHED
Object Hans Svarstad E162447 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: Hans Svarstad | Statement: [Sigrid Undset, hasChild, Hans Svarstad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans Svarstad
Context triple: [Sigrid Undset, hasChild, Hans Svarstad]
  • A. Anders Castus Svarstad chosen
    Anders Castus Svarstad was a Norwegian painter and graphic artist known for his urban landscapes and as the husband of Nobel Prize–winning author Sigrid Undset.
  • B. Ole Singstad
    Ole Singstad was a Norwegian-American civil engineer renowned for pioneering underwater vehicular tunnel design in the United States.
  • C. Johann Olav Koss
    Johann Olav Koss is a Norwegian speed skater renowned for winning multiple gold medals and setting world records at the 1994 Lillehammer Winter Olympics.
  • D. Jan Christian Vestre
    Jan Christian Vestre is a Norwegian Labour Party politician and businessman who has served as Norway’s Minister of Trade and Industry.
  • E. Morten Lie
    Morten Lie is a person notable enough to be recognized as a bearer of the surname Lie, though specific widely known public details about him are limited.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5e421081908f2432528019db25 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08a3865c819093a6ffd1a8c74e2e completed March 8, 2026, 5:26 a.m.
Created at: March 1, 2026, 7:47 p.m.