Triple

T7927037
Position Surface form Disambiguated ID Type / Status
Subject Heidi Klum E184090 entity
Predicate employer P7 FINISHED
Object ProSieben E140860 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: ProSieben | Statement: [Heidi Klum, employer, ProSieben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ProSieben
Context triple: [Heidi Klum, employer, ProSieben]
  • A. ProSieben chosen
    ProSieben is a major German free-to-air television channel known for entertainment programming, international series, and large-scale event broadcasts.
  • B. ProSieben Maxx
    ProSieben Maxx is a German free-to-air television channel known for broadcasting a mix of series, films, anime, and sports, targeting primarily a male audience.
  • C. ZDF
    ZDF is Germany’s national public-service television broadcaster, known for producing and co-producing a wide range of news, cultural, and documentary programming.
  • D. Mediaset
    Mediaset is a major Italian commercial television and media company, founded by Silvio Berlusconi and known for operating several popular TV channels and media platforms.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aafdb5c8190b7f2ce5349305f78 completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bfd08e88190bc6b2d77a148ae57 completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:07 p.m.