Triple

T20947969
Position Surface form Disambiguated ID Type / Status
Subject Kim Ki-young E515899 entity
Predicate education P5 FINISHED
Object Severance Medical School (incomplete) 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: Severance Medical School (incomplete) | Statement: [Kim Ki-young, education, Severance Medical School (incomplete)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Severance Medical School (incomplete)
Context triple: [Kim Ki-young, education, Severance Medical School (incomplete)]
  • A. Medical School
    Medical School is the medical faculty of the University of Pécs in Hungary, offering education and training in medicine and related health sciences.
  • B. Medical College
    Medical College is the faculty of medicine at Aga Khan University, offering medical education, training, and research programs for future healthcare professionals.
  • C. NOVA Medical School
    NOVA Medical School is the medical faculty of NOVA University Lisbon, known for its research-driven education in medicine and health sciences in Portugal.
  • D. F. Edward Hébert School of Medicine
    The F. Edward Hébert School of Medicine is the medical school of the Uniformed Services University of the Health Sciences, training physicians and health professionals for service in the U.S. military and federal health systems.
  • E. Medical and Health Sciences School
    The Medical and Health Sciences School is a faculty of Rovira i Virgili University dedicated to education and research in medicine, nursing, and related health disciplines.
  • 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: Severance Medical School (incomplete)
Target entity description: Severance Medical School (incomplete) refers to the early, not-yet-fully developed form of Severance Union Medical College in Seoul, one of Korea’s first modern medical schools and a predecessor of today’s Yonsei University College of Medicine.
  • A. Medical School
    Medical School is the medical faculty of the University of Pécs in Hungary, offering education and training in medicine and related health sciences.
  • B. Medical College
    Medical College is the faculty of medicine at Aga Khan University, offering medical education, training, and research programs for future healthcare professionals.
  • C. NOVA Medical School
    NOVA Medical School is the medical faculty of NOVA University Lisbon, known for its research-driven education in medicine and health sciences in Portugal.
  • D. F. Edward Hébert School of Medicine
    The F. Edward Hébert School of Medicine is the medical school of the Uniformed Services University of the Health Sciences, training physicians and health professionals for service in the U.S. military and federal health systems.
  • E. Medical and Health Sciences School
    The Medical and Health Sciences School is a faculty of Rovira i Virgili University dedicated to education and research in medicine, nursing, and related health disciplines.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fadab7708190bb3a10bdd3f32d90 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 12:58 p.m.