Triple

T9877937
Position Surface form Disambiguated ID Type / Status
Subject Upjohn Company E240119 entity
Predicate namedAfter P63 FINISHED
Object W. E. Upjohn E826581 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: W. E. Upjohn | Statement: [Upjohn Company, namedAfter, W. E. Upjohn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: W. E. Upjohn
Context triple: [Upjohn Company, namedAfter, W. E. Upjohn]
  • A. W. E. Upjohn chosen
    W. E. Upjohn was an American physician and entrepreneur best known for founding the Upjohn Company, a major pharmaceutical manufacturer.
  • B. John M. Olin
    John M. Olin was an American industrialist and philanthropist known for his leadership of the Olin Corporation and his extensive support of higher education and conservative public policy initiatives.
  • C. Alfred E. Kahn
    Alfred E. Kahn was an American economist and regulator best known as the chief architect of U.S. airline deregulation in the late 1970s.
  • D. Roger W. Babson
    Roger W. Babson was an American entrepreneur, economist, and business theorist known for his influential market forecasts and for establishing educational and financial institutions.
  • E. Frank H. Knight
    Frank H. Knight was an influential American economist and founding figure of the Chicago school, best known for his work on risk, uncertainty, and profit.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb411fc78819082c52ae4233a6550 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d6ec5a081908251e67b575c7c33 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:37 p.m.