Triple

T6701968
Position Surface form Disambiguated ID Type / Status
Subject Marius Borg Høiby E152901 entity
Predicate name P16 FINISHED
Object Marius Borg Høiby E152901 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: Marius Borg Høiby | Statement: [Marius Borg Høiby, name, Marius Borg Høiby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marius Borg Høiby
Context triple: [Marius Borg Høiby, name, Marius Borg Høiby]
  • A. Marius Borg Høiby chosen
    Marius Borg Høiby is a Norwegian public figure known as the eldest son of Crown Princess Mette-Marit and the stepson of Crown Prince Haakon of Norway.
  • B. Kjetil Trædal Thorsen
    Kjetil Trædal Thorsen is a Norwegian architect best known as a co-founder and leading figure of the international architecture and design firm Snøhetta.
  • C. Morten Skjønsberg
    Morten Skjønsberg is a Norwegian former professional footballer best known as a long-serving defender for Stabæk Fotball.
  • D. 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.
  • E. 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.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e5eb0c81908c4fa3febd2d23ca completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70083e1948190b5ee3fffb9783531 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:06 p.m.