Triple

T20836996
Position Surface form Disambiguated ID Type / Status
Subject Fairhair dynasty E512985 entity
Predicate hasMonarch P765 FINISHED
Object Haakon the Good NE NERFINISHED

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: Haakon the Good | Statement: [Fairhair dynasty, hasMonarch, Haakon the Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haakon the Good
Context triple: [Fairhair dynasty, hasMonarch, Haakon the Good]
  • A. Haakon the Good
    Haakon the Good was a 10th-century king of Norway known for his attempts to strengthen royal power and introduce Christianity to his traditionally pagan realm.
  • B. Haakon the Young
    Haakon the Young was a 13th-century Norwegian prince and co-king, known as the eldest surviving son and designated heir of King Haakon IV of Norway.
  • C. Håkon I of Norway chosen
    Håkon I of Norway, known as Håkon the Good, was a 10th-century king credited with consolidating the Norwegian kingdom and attempting to introduce Christianity.
  • D. Haakon Magnus
    Haakon Magnus is the Crown Prince of Norway and heir apparent to the Norwegian throne.
  • E. Haakon Sigurdsson
    Haakon Sigurdsson was a powerful late 10th-century Norwegian earl who effectively ruled Norway as a pagan overlord under Danish suzerainty before the country's Christianization.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cf62a88190bbf92351e9e57259 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c3280a1881909a86d1fe498aee50 completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:42 p.m.