Triple

T16406828
Position Surface form Disambiguated ID Type / Status
Subject Dr. Lisa Cuddy E398454 entity
Predicate associatedWith P37 FINISHED
Object Department of Diagnostic Medicine
The Department of Diagnostic Medicine is a fictional hospital division in the TV series "House, M.D." where complex and puzzling medical cases are investigated and treated.
E1212637 NE FINISHED

How this triple was built (4 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: Department of Diagnostic Medicine | Statement: [Dr. Lisa Cuddy, associatedWith, Department of Diagnostic Medicine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Diagnostic Medicine
Context triple: [Dr. Lisa Cuddy, associatedWith, Department of Diagnostic Medicine]
  • A. Department of Pathology
    The Department of Pathology is an academic and clinical unit within the Li Ka Shing Faculty of Medicine that focuses on the study, diagnosis, and research of disease processes in human tissues and organs.
  • B. Department of Pathology
    The Department of Pathology is an academic and clinical unit within Cairo University's Faculty of Medicine that focuses on the study, diagnosis, and teaching of disease processes at the tissue and cellular levels.
  • C. Department of Pathology
    The Department of Pathology at the University Medical Center Göttingen is a medical and research unit specializing in the diagnosis of disease through the examination of tissues, organs, and bodily fluids, as well as in pathology-related teaching and scientific research.
  • D. Department of Pathology
    The Department of Pathology at Johns Hopkins School of Medicine is a leading academic and clinical center specializing in the study, diagnosis, and research of human disease.
  • E. Department of Pathology
    The Department of Pathology at the Mahatma Gandhi Institute of Medical Sciences is an academic and diagnostic unit that studies disease mechanisms and provides laboratory services to support medical education, research, and patient care.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Department of Diagnostic Medicine
Triple: [Dr. Lisa Cuddy, associatedWith, Department of Diagnostic Medicine]
Generated description
The Department of Diagnostic Medicine is a fictional hospital division in the TV series "House, M.D." where complex and puzzling medical cases are investigated and treated.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Diagnostic Medicine
Target entity description: The Department of Diagnostic Medicine is a fictional hospital division in the TV series "House, M.D." where complex and puzzling medical cases are investigated and treated.
  • A. Department of Pathology
    The Department of Pathology is an academic and clinical unit within the Li Ka Shing Faculty of Medicine that focuses on the study, diagnosis, and research of disease processes in human tissues and organs.
  • B. Department of Pathology
    The Department of Pathology is an academic and clinical unit within Cairo University's Faculty of Medicine that focuses on the study, diagnosis, and teaching of disease processes at the tissue and cellular levels.
  • C. Department of Pathology
    The Department of Pathology at the University Medical Center Göttingen is a medical and research unit specializing in the diagnosis of disease through the examination of tissues, organs, and bodily fluids, as well as in pathology-related teaching and scientific research.
  • D. Department of Pathology
    The Department of Pathology at Johns Hopkins School of Medicine is a leading academic and clinical center specializing in the study, diagnosis, and research of human disease.
  • E. Department of Pathology
    The Department of Pathology at the Mahatma Gandhi Institute of Medical Sciences is an academic and diagnostic unit that studies disease mechanisms and provides laboratory services to support medical education, research, and patient care.
  • F. None of above. chosen

Provenance (5 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d36b808190b6b8c412ae0d2faa completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c62614c8190acd6d211cab1be11 completed May 10, 2026, 8:05 a.m.
NEDg Description generation batch_6a003dc6f4888190ae326c9606d2a674 completed May 10, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_6a0041842cc88190b81432d234f9aa17 completed May 10, 2026, 8:27 a.m.
Created at: April 10, 2026, 5:09 a.m.