Triple

T1575837
Position Surface form Disambiguated ID Type / Status
Subject Halvdan Koht E33648 entity
Predicate givenName P17 FINISHED
Object Halvdan E33648 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: Halvdan | Statement: [Halvdan Koht, givenName, Halvdan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halvdan
Context triple: [Halvdan Koht, givenName, Halvdan]
  • A. Ivar
    Ivar is a masculine given name of Old Norse origin, traditionally used in Scandinavian countries.
  • B. Hrólfr
    Hrólfr, better known as Rollo, was a Viking leader who became the first ruler of Normandy in the early 10th century.
  • C. Halvdan Koht chosen
    Halvdan Koht was a prominent Norwegian historian, politician, and former foreign minister known for his influential role in early 20th-century Norwegian academic and political life.
  • D. Gunnar
    Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
  • E. Ragnar
    Ragnar is a masculine given name of Old Norse origin, historically associated with Viking-age Scandinavia and later borne by various notable figures.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908d2cffc819090f3d5cbebae3307 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4696c34c8190826bc6ab4dad7c01 completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.