Triple

T17242600
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Bayer E418538 entity
Predicate name P16 FINISHED
Object Friedrich Bayer 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: Friedrich Bayer | Statement: [Friedrich Bayer, name, Friedrich Bayer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Friedrich Bayer
Context triple: [Friedrich Bayer, name, Friedrich Bayer]
  • A. Friedrich Bayer chosen
    Friedrich Bayer was a 19th-century German businessman and chemist best known as the co-founder of the pharmaceutical and chemical company Bayer AG.
  • B. Friedrich Engelhorn
    Friedrich Engelhorn was a 19th-century German industrialist and chemist best known as the founder of the chemical company BASF.
  • C. Karl Friedrich Reiche
    Karl Friedrich Reiche was a German botanist known for his taxonomic and floristic studies, particularly on the flora of Chile and Mexico.
  • D. Friedrich Carl Andreas
    Friedrich Carl Andreas was a German orientalist and philologist known for his scholarship on Middle Eastern languages and cultures.
  • E. Friedrich Bergmann
    Friedrich Bergmann is a fictional film director in Christopher Isherwood’s novel "Prater Violet," serving as a central figure whose artistic temperament and political anxieties reflect the tensions of 1930s Europe.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e21003c81908c884a3c8712676a completed April 19, 2026, 1:21 a.m.
Created at: April 10, 2026, 5:39 a.m.