Triple

T9283974
Position Surface form Disambiguated ID Type / Status
Subject The Lost Honour of Katharina Blum E223138 entity
Predicate castMember P1668 FINISHED
Object Hannelore Hoger E625265 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: Hannelore Hoger | Statement: [The Lost Honour of Katharina Blum, castMember, Hannelore Hoger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannelore Hoger
Context triple: [The Lost Honour of Katharina Blum, castMember, Hannelore Hoger]
  • A. Hannelore Hoger chosen
    Hannelore Hoger is a renowned German actress and director, best known for her work in film, television, and theater, including her iconic role as inspector Bella Block.
  • B. Hannelore Kraft
    Hannelore Kraft is a German politician from the Social Democratic Party (SPD) who served as Minister-President of North Rhine-Westphalia from 2010 to 2017.
  • C. Dagmar Berghoff
    Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
  • D. Dorothee Menzel
    Dorothee Menzel is a person notable enough to be recognized as a namesake of the surname Menzel.
  • E. Hannelore Menzel
    Hannelore Menzel is a German actress known for her work in mid-20th-century film and theater.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd081e72988190917f425e64631837 completed April 1, 2026, 11:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b21d8f1081909b2493151fde4a5f completed April 4, 2026, 6:39 a.m.
Created at: March 30, 2026, 7:34 p.m.