Triple

T17376682
Position Surface form Disambiguated ID Type / Status
Subject Marianne Strauß E422454 entity
Predicate name P16 FINISHED
Object Marianne Strauß 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: Marianne Strauß | Statement: [Marianne Strauß, name, Marianne Strauß]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marianne Strauß
Context triple: [Marianne Strauß, name, Marianne Strauß]
  • A. Marianne Strauß chosen
    Marianne Strauß was the wife of influential Bavarian politician and long-time CSU leader Franz Josef Strauß.
  • B. Marianne Weber
    Marianne Weber was a German sociologist, women's rights activist, and biographer of her husband Max Weber, known for her influential work on marriage, gender, and law.
  • C. Angelika von Schirach
    Angelika von Schirach is a member of the German von Schirach family, known primarily through her connection to her mother, Henriette von Schirach, who was associated with the Nazi elite.
  • D. Lisa von Dobeneck
    Lisa von Dobeneck was a German aristocrat best known as the wife of tennis champion Gottfried von Cramm.
  • E. Sybille Pesch
    Sybille Pesch was the wife of the 19th-century German-Jewish philosopher and socialist Moses Hess.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6ddbd081908908b953597977d2 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.