Triple

T18594829
Position Surface form Disambiguated ID Type / Status
Subject Verena von Weizsäcker E454465 entity
Predicate givenName P17 FINISHED
Object Verena 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: Verena | Statement: [Verena von Weizsäcker, givenName, Verena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verena
Context triple: [Verena von Weizsäcker, givenName, Verena]
  • A. Verena chosen
    Verena is a feminine given name of Latin origin, commonly used in German-speaking and other European countries.
  • B. Verena Talbo
    Verena Talbo is a character in the novel "The Grass Dancer" by Susan Power, known primarily through her fraught and antagonistic relationship with Dolly Talbo.
  • C. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • D. Verena Arnold
    Verena Arnold is known as the wife of Christian writer and pastor Johann Christoph Arnold, associated with the Bruderhof community.
  • E. Annina
    Annina is a minor but pivotal character in Richard Strauss’s opera "Der Rosenkavalier," serving as the scheming accomplice and confidante of the Baron Ochs.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b8d76881909db1539c7150befb completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.