Triple

T19411863
Position Surface form Disambiguated ID Type / Status
Subject Hospital Playlist E485605 entity
Predicate setIn P1393 FINISHED
Object Yulje Medical Center — 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: Yulje Medical Center | Statement: [Hospital Playlist, setIn, Yulje Medical Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yulje Medical Center
Context triple: [Hospital Playlist, setIn, Yulje Medical Center]
  • A. Keimyung University Dongsan Medical Center
    Keimyung University Dongsan Medical Center is a major teaching hospital and comprehensive medical facility in Daegu, South Korea, affiliated with Keimyung University’s College of Medicine.
  • B. Pusan National University Hospital
    Pusan National University Hospital is a major teaching and tertiary care hospital in Busan, South Korea, serving as a primary clinical center for Pusan National University’s medical education and research.
  • C. Seoul National University Hospital
    Seoul National University Hospital is a leading tertiary teaching and research hospital in South Korea, affiliated with Seoul National University and renowned for its advanced medical care and academic excellence.
  • D. Yonsei University Health System
    Yonsei University Health System is a major South Korean medical network that oversees Yonsei University’s healthcare institutions, including its teaching hospitals and clinical facilities.
  • E. Chonnam National University Hospital
    Chonnam National University Hospital is a major teaching and tertiary care medical center in South Korea affiliated with Chonnam National University.
  • 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: Yulje Medical Center
Target entity description: Yulje Medical Center is the fictional tertiary hospital that serves as the main setting for the South Korean television drama series "Hospital Playlist."
  • A. Keimyung University Dongsan Medical Center
    Keimyung University Dongsan Medical Center is a major teaching hospital and comprehensive medical facility in Daegu, South Korea, affiliated with Keimyung University’s College of Medicine.
  • B. Pusan National University Hospital
    Pusan National University Hospital is a major teaching and tertiary care hospital in Busan, South Korea, serving as a primary clinical center for Pusan National University’s medical education and research.
  • C. Seoul National University Hospital
    Seoul National University Hospital is a leading tertiary teaching and research hospital in South Korea, affiliated with Seoul National University and renowned for its advanced medical care and academic excellence.
  • D. Yonsei University Health System
    Yonsei University Health System is a major South Korean medical network that oversees Yonsei University’s healthcare institutions, including its teaching hospitals and clinical facilities.
  • E. Chonnam National University Hospital
    Chonnam National University Hospital is a major teaching and tertiary care medical center in South Korea affiliated with Chonnam National University.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af681288190ba2ec52d5adb6a22 completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.