Triple

T20319202
Position Surface form Disambiguated ID Type / Status
Subject Schering E492162 entity
Predicate notableBearer P458 FINISHED
Object Ernst Schering 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: Ernst Schering | Statement: [Schering, notableBearer, Ernst Schering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernst Schering
Context triple: [Schering, notableBearer, Ernst Schering]
  • A. Ernst Schering chosen
    Ernst Schering was a German mathematician and physicist known for his work in geodesy and potential theory in the 19th century.
  • B. Anselm Franz von Ingelheim
    Anselm Franz von Ingelheim was a 17th-century German archbishop and statesman who served as Archbishop-Elector of Mainz, making him one of the most influential ecclesiastical princes in the Holy Roman Empire.
  • C. Fritz Hoffmann-La Roche
    Fritz Hoffmann-La Roche was a Swiss entrepreneur and industrialist who founded the global healthcare and pharmaceutical company Roche in the late 19th century.
  • D. Ludwig Ehrlich
    Ludwig Ehrlich was a Polish Jesuit priest, legal scholar, and professor of international law known for his contributions to the development of legal thought in interwar Poland.
  • E. George Merck
    George Merck was an American pharmaceutical executive best known for leading and expanding Merck & Co. into a major global drug company in the early 20th century.
  • 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778abd14819098a01fd32217fdde completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:20 a.m.