Triple

T23471024
Position Surface form Disambiguated ID Type / Status
Subject Magdalena Scholl E570126 entity
Predicate motherOf P120 FINISHED
Object Werner Scholl 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: Werner Scholl | Statement: [Magdalena Scholl, motherOf, Werner Scholl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Werner Scholl
Context triple: [Magdalena Scholl, motherOf, Werner Scholl]
  • A. Werner Scholl chosen
    Werner Scholl was the younger brother of Hans and Sophie Scholl, associated with the White Rose resistance circle in Nazi Germany.
  • B. Leonhard Tietz
    Leonhard Tietz was a German entrepreneur and department store pioneer whose business eventually evolved into the modern retail chain Galeria Kaufhof.
  • C. Karl Mayer
    Karl Mayer is a fictional character from the television series "Desperate Housewives," known as Susan Mayer's ex-husband.
  • D. Helmut Friedrichs
    Helmut Friedrichs was a Nazi Party official who served as a State Secretary in the Party Chancellery under Adolf Hitler’s regime in Germany.
  • E. Eberhard Klett
    Eberhard Klett was an 18th-century German publisher known for issuing Johann Heinrich Lambert’s influential work *Photometria*.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a6ff8dc0819086961b1f07030d9c completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 5:55 p.m.