Triple

T2500260
Position Surface form Disambiguated ID Type / Status
Subject Karen Verne E52446 entity
Predicate alternativeName P39 FINISHED
Object Käthe Vörne E283815 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: Käthe Vörne | Statement: [Karen Verne, alternativeName, Käthe Vörne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Käthe Vörne
Context triple: [Karen Verne, alternativeName, Käthe Vörne]
  • A. Käthe Vörnle chosen
    Käthe Vörnle, better known professionally as Karen Verne, was a German-born actress who appeared in British and American films in the 1930s and 1940s.
  • B. Käthe Jerosch
    Käthe Jerosch was the wife of the influential German mathematician David Hilbert and a member of the academic social circles in Göttingen in the late 19th and early 20th centuries.
  • C. Nena von Schlebrügge
    Nena von Schlebrügge is a Swedish-born former fashion model of German and Swedish descent who worked internationally in the 1950s and 1960s and is the mother of actress Uma Thurman.
  • D. Gunta Stölzl
    Gunta Stölzl was a pioneering German textile artist and designer who led the weaving workshop at the Bauhaus and helped establish modern textile design.
  • E. Ingeborg Morath
    Ingeborg Morath was an Austrian-born Magnum Photos photographer renowned for her humanistic, poetic images and extensive work documenting cultures around the world in the mid-20th century.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1afd86c81909181c4b45d4f8bc5 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa0425944819096e87fadfce94bc2 completed March 10, 2026, 4:38 a.m.
Created at: March 6, 2026, 9:46 p.m.