Triple

T23501072
Position Surface form Disambiguated ID Type / Status
Subject Hagen E571843 entity
Predicate hasNotableBearer P458 FINISHED
Object Nina Hagen 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: Nina Hagen | Statement: [Hagen, hasNotableBearer, Nina Hagen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nina Hagen
Context triple: [Hagen, hasNotableBearer, Nina Hagen]
  • A. Nina Hagen chosen
    Nina Hagen is a German singer and actress known for her theatrical punk style, operatic vocal range, and influential role in shaping punk and new wave music in Europe.
  • B. Doro Pesch
    Doro Pesch is a German heavy metal singer and frontwoman, best known as the former lead vocalist of the band Warlock and as a pioneering female figure in the metal genre.
  • C. Zita Johann
    Zita Johann was an Austro-Hungarian-born American stage and film actress best known for her role opposite Boris Karloff in the 1932 horror classic "The Mummy."
  • D. Lene Lovich
    Lene Lovich is an American-born English new wave singer, songwriter, and musician known for her distinctive vocal style and influential late-1970s and early-1980s work.
  • E. Babette Biedermann
    Babette Biedermann is a central character in Max Frisch’s play "Biedermann und die Brandstifter," typically portrayed as the cautious, morally concerned wife whose warnings go unheeded by her complacent husband.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fc37908190af86a01ab85737d6 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:06 p.m.