Triple

T17073612
Position Surface form Disambiguated ID Type / Status
Subject Johann Georg Übelher E414286 entity
Predicate givenName P17 FINISHED
Object Johann Georg E421537 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: Johann Georg | Statement: [Johann Georg Übelher, givenName, Johann Georg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johann Georg
Context triple: [Johann Georg Übelher, givenName, Johann Georg]
  • A. Johann Georg chosen
    Johann Georg is a masculine German given name historically borne by numerous notable figures in German-speaking regions.
  • B. Johann Ludwig
    Johann Ludwig is the given first name of Lutz Graf Schwerin von Krosigk, who served as Germany’s Minister of Finance during the Nazi era and briefly headed the Flensburg government after Hitler’s death.
  • C. Johann Friedrich
    Johann Friedrich is the given name of Johann Friedrich Städel, a German merchant and art patron who founded the Städel Museum in Frankfurt.
  • D. Johann Christoph
    Johann Christoph was the given name of Johann Christoph Pepusch, a German-born Baroque composer and music theorist active in London.
  • E. Johann Peter von Ludewig
    Johann Peter von Ludewig was an influential early 18th-century German jurist, historian, and academic administrator associated with the University of Halle and central to the intellectual movement known as the Halle Enlightenment.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbc28fec81909c39d432094d9cdd completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ede108881909ddd0455be53ffac completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:34 a.m.