Triple

T17988305
Position Surface form Disambiguated ID Type / Status
Subject Dagmar Berghoff E430298 entity
Predicate notableWork P4 FINISHED
Object Tagesschau 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: Tagesschau | Statement: [Dagmar Berghoff, notableWork, Tagesschau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tagesschau
Context triple: [Dagmar Berghoff, notableWork, Tagesschau]
  • A. Tagesschau chosen
    Tagesschau is Germany’s flagship daily television news program, renowned for its concise, authoritative coverage and long-running broadcast on the public broadcaster ARD.
  • B. Tagesthemen
    Tagesthemen is a prominent German nightly television news program that provides in-depth reporting and analysis of national and international events.
  • C. tagesschau24
    tagesschau24 is a German public television news channel focusing on continuous news coverage, background reports, and live event broadcasts.
  • D. Süddeutsche Zeitung
    Süddeutsche Zeitung is one of Germany’s largest and most influential daily newspapers, known for its in-depth investigative journalism and liberal editorial stance.
  • E. Frankfurter Zeitung
    Frankfurter Zeitung was a prominent liberal German newspaper based in Frankfurt, influential in the early 20th century for its high-quality journalism and cultural criticism.
  • 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.