Triple

T10738759
Position Surface form Disambiguated ID Type / Status
Subject Goldene Kamera E253263 entity
Predicate originalNetwork P2594 FINISHED
Object ZDF E121600 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: ZDF | Statement: [Goldene Kamera, originalNetwork, ZDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZDF
Context triple: [Goldene Kamera, originalNetwork, ZDF]
  • A. ZDF chosen
    ZDF is Germany’s national public-service television broadcaster, known for producing and co-producing a wide range of news, cultural, and documentary programming.
  • B. ZDFmediathek
    ZDFmediathek is the online streaming and on-demand media platform of the German public broadcaster ZDF, offering access to its TV programs, series, films, and live streams.
  • C. ZDFinfo
    ZDFinfo is a German television channel specializing in documentaries and informational programming, operated by the public broadcaster ZDF.
  • D. ProSieben
    ProSieben is a major German free-to-air television channel known for entertainment programming, international series, and large-scale event broadcasts.
  • E. Westdeutscher Rundfunk (WDR)
    Westdeutscher Rundfunk (WDR) is a major German public broadcasting institution that produces radio, television, and online content primarily for the federal state of North Rhine-Westphalia.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710424d8c81908ee9b59d622f2af5 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de22ed6edc8190beb76bd2971c7cec completed April 14, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:14 p.m.