Triple

T6393769
Position Surface form Disambiguated ID Type / Status
Subject Norwegian School of Economics E143890 entity
Predicate hasNotableAlumni P51 FINISHED
Object Siv Jensen E539634 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: Siv Jensen | Statement: [Norwegian School of Economics, hasNotableAlumni, Siv Jensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siv Jensen
Context triple: [Norwegian School of Economics, hasNotableAlumni, Siv Jensen]
  • A. Siv Jensen chosen
    Siv Jensen is a Norwegian politician who served as leader of the right-wing Progress Party and as Norway’s Minister of Finance.
  • B. Kirsten Munk
    Kirsten Munk was a Danish noblewoman best known as the morganatic second wife of King Christian IV of Denmark and the mother of several of his children.
  • C. Ada Vilstrup
    Ada Vilstrup was the wife of German-Danish Expressionist painter Emil Nolde and a close companion throughout his artistic career.
  • D. Kim Roentved
    Kim Roentved is a Danish former professional soccer player best known as a star defender in the Major Indoor Soccer League during the 1980s and 1990s.
  • E. Brigitte Nielsen
    Brigitte Nielsen is a Danish actress, model, and television personality known for her roles in 1980s action films and her high-profile marriage to Sylvester Stallone.
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06881313481908e9082ffe57f29b6 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bb0a0bc819098a5a753d0be52a1 completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:34 p.m.