Triple

T93490
Position Surface form Disambiguated ID Type / Status
Subject Harvard T.H. Chan School of Public Health E1878 entity
Predicate hasDepartment P35 FINISHED
Object Department of Epidemiology
The Department of Epidemiology at the Harvard T.H. Chan School of Public Health is a leading academic and research unit focused on studying the distribution, determinants, and prevention of disease in populations.
E1878 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 Epidemiology | Statement: [Harvard T.H. Chan School of Public Health, hasDepartment, Department of Epidemiology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Epidemiology
Context triple: [Harvard T.H. Chan School of Public Health, hasDepartment, Department of Epidemiology]
  • A. School of Public Health
    The School of Public Health at the University of California, Berkeley is a leading institution dedicated to research, education, and practice in public health disciplines such as epidemiology, environmental health, health policy, and global health.
  • B. Department of Population Health Sciences, Duke University
    The Department of Population Health Sciences at Duke University is an academic unit within the School of Medicine focused on research, education, and policy to improve health outcomes at the population level.
  • C. Harvard T.H. Chan School of Public Health
    Harvard T.H. Chan School of Public Health is a leading graduate institution dedicated to advancing public health through research, education, and policy, and is part of Harvard University.
  • D. College of Public Health and Human Sciences
    The College of Public Health and Human Sciences is an academic unit specializing in public health, human development, and related applied health sciences.
  • E. Massachusetts Department of Public Health
    The Massachusetts Department of Public Health is the state agency responsible for protecting and promoting public health in Massachusetts through disease prevention, health regulation, and community health programs.
  • 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 Epidemiology
Triple: [Harvard T.H. Chan School of Public Health, hasDepartment, Department of Epidemiology]
Generated description
The Department of Epidemiology at the Harvard T.H. Chan School of Public Health is a leading academic and research unit focused on studying the distribution, determinants, and prevention of disease in populations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Epidemiology
Target entity description: The Department of Epidemiology at the Harvard T.H. Chan School of Public Health is a leading academic and research unit focused on studying the distribution, determinants, and prevention of disease in populations.
  • A. School of Public Health
    The School of Public Health at the University of California, Berkeley is a leading institution dedicated to research, education, and practice in public health disciplines such as epidemiology, environmental health, health policy, and global health.
  • B. Department of Population Health Sciences, Duke University
    The Department of Population Health Sciences at Duke University is an academic unit within the School of Medicine focused on research, education, and policy to improve health outcomes at the population level.
  • C. Harvard T.H. Chan School of Public Health chosen
    Harvard T.H. Chan School of Public Health is a leading graduate institution dedicated to advancing public health through research, education, and policy, and is part of Harvard University.
  • D. College of Public Health and Human Sciences
    The College of Public Health and Human Sciences is an academic unit specializing in public health, human development, and related applied health sciences.
  • E. Massachusetts Department of Public Health
    The Massachusetts Department of Public Health is the state agency responsible for protecting and promoting public health in Massachusetts through disease prevention, health regulation, and community health programs.
  • F. None of above.

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_69a24d1a97dc819094e6c021fe9b05a7 completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24fd28e988190bde699647ee5b16b completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a26245bf748190828d5cb4624b2a79 completed Feb. 28, 2026, 3:34 a.m.
NEDg Description generation batch_69a262bec71481909b251923011ca502 completed Feb. 28, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69a263626b7c8190b53469d93ac604d9 completed Feb. 28, 2026, 3:39 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.