Triple

T20637869
Position Surface form Disambiguated ID Type / Status
Subject Erling Wikborg E507133 entity
Predicate name P16 FINISHED
Object Erling Wikborg 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: Erling Wikborg | Statement: [Erling Wikborg, name, Erling Wikborg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erling Wikborg
Context triple: [Erling Wikborg, name, Erling Wikborg]
  • A. Erling Wikborg chosen
    Erling Wikborg was a Norwegian lawyer and politician best known as a leading figure in Christian democratic politics and an early architect of Norway’s postwar Christian Democratic movement.
  • B. Ivar Tengbom
    Ivar Tengbom was a prominent Swedish architect known for his influential early 20th-century public buildings and contributions to Nordic classicism.
  • C. Adolf Henrik Lindstrøm
    Adolf Henrik Lindstrøm was a Norwegian Arctic explorer and cook renowned for his vital support roles on several polar expeditions, including Roald Amundsen’s historic voyages.
  • D. Erling Persson
    Erling Persson was a Swedish entrepreneur best known as the founder of the global fashion retail chain H&M.
  • E. Henrik Bull
    Henrik Bull was a prominent Norwegian architect known for his influential role in shaping early 20th-century architecture in Norway, particularly through major public and cultural buildings.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad1163008190aa9df36750a952d2 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:42 a.m.