Triple

T2500259
Position Surface form Disambiguated ID Type / Status
Subject Karen Verne E52446 entity
Predicate alternativeName P39 FINISHED
Object Käthe Verne 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 Verne | Statement: [Karen Verne, alternativeName, Käthe Verne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Käthe Verne
Context triple: [Karen Verne, alternativeName, Käthe Verne]
  • 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. Bertha Manthey
    Bertha Manthey was the wife of Norwegian historian, teacher, and Nobel Peace Prize–winning political scientist Christian Lous Lange.
  • C. 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.
  • D. Albertina Rasch
    Albertina Rasch was an influential early 20th-century choreographer and dance director known for her work on Broadway and in Hollywood films.
  • E. Marie Kuhn
    Marie Kuhn was the wife of German field marshal Wilhelm von Leeb, a senior commander in the Wehrmacht during World War II.
  • 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_69af98a63a44819092c017b8624e3dc8 completed March 10, 2026, 4:05 a.m.
Created at: March 6, 2026, 9:46 p.m.