Triple

T5544934
Position Surface form Disambiguated ID Type / Status
Subject Thomas Gottschalk E145381 entity
Predicate notableEmployer P20563 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: [Thomas Gottschalk, notableEmployer, ZDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZDF
Context triple: [Thomas Gottschalk, notableEmployer, 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fcad7d88190b83bb4ecb3b34bfd completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cf1c66c819099e2cde5e1c7bec0 completed March 22, 2026, 8:11 p.m.
Created at: March 22, 2026, 3:35 p.m.