Triple

T17988293
Position Surface form Disambiguated ID Type / Status
Subject Dagmar Berghoff E430298 entity
Predicate name P16 FINISHED
Object Dagmar Berghoff 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: Dagmar Berghoff | Statement: [Dagmar Berghoff, name, Dagmar Berghoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dagmar Berghoff
Context triple: [Dagmar Berghoff, name, Dagmar Berghoff]
  • A. Dagmar Berghoff chosen
    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.
  • B. Hannelore Goslar
    Hannelore Goslar, also known as Hanneli Goslar, was a Jewish Holocaust survivor best known as a close childhood friend of Anne Frank.
  • C. Birgit Menzel
    Birgit Menzel is a scholar and academic known for her work in Slavic studies and Russian literature and culture.
  • D. Dorothee Menzel
    Dorothee Menzel is a person notable enough to be recognized as a namesake of the surname Menzel.
  • E. Barbara Scholz
    Barbara Scholz is a philosopher of linguistics known for her influential critiques of nativist theories of language acquisition, particularly the poverty of the stimulus argument.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29d3ad4819096c2600aa2a99f21 completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.