Triple

T93491
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 Global Health and Population
The Department of Global Health and Population is an academic department at the Harvard T.H. Chan School of Public Health focused on research, education, and policy to improve health and reduce inequalities worldwide.
E9074 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 Global Health and Population | Statement: [Harvard T.H. Chan School of Public Health, hasDepartment, Department of Global Health and Population]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Global Health and Population
Context triple: [Harvard T.H. Chan School of Public Health, hasDepartment, Department of Global Health and Population]
  • 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. Center for Health and the Global Environment
    The Center for Health and the Global Environment is a research and policy institute that examines how environmental change affects human health and promotes sustainable solutions to protect both people and the planet.
  • C. 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.
  • D. Department of Biostatistics
    The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is a leading academic center for developing and applying statistical methods to advance biomedical, public health, and quantitative science research.
  • E. 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.
  • 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 Global Health and Population
Triple: [Harvard T.H. Chan School of Public Health, hasDepartment, Department of Global Health and Population]
Generated description
The Department of Global Health and Population is an academic department at the Harvard T.H. Chan School of Public Health focused on research, education, and policy to improve health and reduce inequalities worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Global Health and Population
Target entity description: The Department of Global Health and Population is an academic department at the Harvard T.H. Chan School of Public Health focused on research, education, and policy to improve health and reduce inequalities worldwide.
  • 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. Center for Health and the Global Environment
    The Center for Health and the Global Environment is a research and policy institute that examines how environmental change affects human health and promotes sustainable solutions to protect both people and the planet.
  • C. 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.
  • D. Department of Biostatistics
    The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is a leading academic center for developing and applying statistical methods to advance biomedical, public health, and quantitative science research.
  • E. 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.
  • 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_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_69a266ebb994819085fb84dd1d2d25ad completed Feb. 28, 2026, 3:54 a.m.
NEDg Description generation batch_69a267b740388190a321023aa52a539a completed Feb. 28, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69a2685dc64c8190bd611985d1bc27a3 completed Feb. 28, 2026, 4 a.m.
Created at: Feb. 28, 2026, 2:07 a.m.