Triple

T6701970
Position Surface form Disambiguated ID Type / Status
Subject Marius Borg Høiby E152901 entity
Predicate familyName P18 FINISHED
Object 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: Borg Høiby | Statement: [Marius Borg Høiby, familyName, Borg Høiby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borg Høiby
Context triple: [Marius Borg Høiby, familyName, 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. Kjell Neergaard
    Kjell Neergaard is a Norwegian politician who has served as the mayor of the coastal city of Kristiansund.
  • C. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • D. Flemming Ørnskov
    Flemming Ørnskov is a Danish physician and business executive best known for serving as CEO of the rare-disease biopharmaceutical company Shire plc.
  • E. Ole Hassager
    Ole Hassager is a Danish chemical engineer and rheologist known for his contributions to the study of complex fluid mechanics and coauthoring influential texts in the field.
  • 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_69c70af508388190866e6452443dc9ff completed March 27, 2026, 10:55 p.m.
Created at: March 27, 2026, 2:06 p.m.