Triple

T17759142
Position Surface form Disambiguated ID Type / Status
Subject Kiyoshi Shiga E443322 entity
Predicate employer P7 FINISHED
Object Manchurian Medical College — NE NERFINISHED

How this triple was built (3 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: Manchurian Medical College | Statement: [Kiyoshi Shiga, employer, Manchurian Medical College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Manchurian Medical College
Context triple: [Kiyoshi Shiga, employer, Manchurian Medical College]
  • A. Peking Union Medical College
    Peking Union Medical College is a prestigious medical education and research institution in Beijing, China, renowned for training elite physicians and advancing medical science.
  • B. Amur State Medical Academy
    Amur State Medical Academy is a Russian medical university located in Blagoveshchensk that trains healthcare professionals and conducts medical research.
  • C. Rush Medical College
    Rush Medical College is a historic Chicago-based medical school known for training physicians and advancing clinical research as part of Rush University Medical Center.
  • D. Indiana Medical College
    Indiana Medical College was a 19th-century American medical school known for training physicians such as William Worrall Mayo, the founder of the Mayo Clinic.
  • E. Hahnemann Medical College
    Hahnemann Medical College was a historic medical school in Philadelphia known for its origins in homeopathic medicine and later evolution into a conventional medical institution.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Manchurian Medical College
Target entity description: Manchurian Medical College was a medical education and research institution in Manchuria associated with early 20th-century Japanese-led medical and bacteriological work in the region.
  • A. Peking Union Medical College
    Peking Union Medical College is a prestigious medical education and research institution in Beijing, China, renowned for training elite physicians and advancing medical science.
  • B. Amur State Medical Academy
    Amur State Medical Academy is a Russian medical university located in Blagoveshchensk that trains healthcare professionals and conducts medical research.
  • C. Rush Medical College
    Rush Medical College is a historic Chicago-based medical school known for training physicians and advancing clinical research as part of Rush University Medical Center.
  • D. Indiana Medical College
    Indiana Medical College was a 19th-century American medical school known for training physicians such as William Worrall Mayo, the founder of the Mayo Clinic.
  • E. Hahnemann Medical College
    Hahnemann Medical College was a historic medical school in Philadelphia known for its origins in homeopathic medicine and later evolution into a conventional medical institution.
  • F. None of above. chosen

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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48420ad188190aeb0f4ec1d23ee5c completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.