Triple

T93495
Position Surface form Disambiguated ID Type / Status
Subject Harvard T.H. Chan School of Public Health E1878 entity
Predicate hasCenter P35 FINISHED
Object 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.
E7939 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: Center for Health and the Global Environment | Statement: [Harvard T.H. Chan School of Public Health, hasCenter, Center for Health and the Global Environment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Center for Health and the Global Environment
Context triple: [Harvard T.H. Chan School of Public Health, hasCenter, Center for Health and the Global Environment]
  • A. Center for Global Change Science
    The Center for Global Change Science is an MIT research center that advances understanding of the Earth’s climate system and global environmental change through interdisciplinary science and modeling.
  • B. Fogarty International Center
    Fogarty International Center is a division of the U.S. National Institutes of Health that supports and advances global health research and training, particularly in low- and middle-income countries.
  • C. 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.
  • D. 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.
  • E. School of Environment, Education and Development
    The School of Environment, Education and Development is an academic unit at the University of Manchester that focuses on interdisciplinary teaching and research in areas such as environmental studies, education, planning, and international development.
  • 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: Center for Health and the Global Environment
Triple: [Harvard T.H. Chan School of Public Health, hasCenter, Center for Health and the Global Environment]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Center for Health and the Global Environment
Target entity description: 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.
  • A. Center for Global Change Science
    The Center for Global Change Science is an MIT research center that advances understanding of the Earth’s climate system and global environmental change through interdisciplinary science and modeling.
  • B. Fogarty International Center
    Fogarty International Center is a division of the U.S. National Institutes of Health that supports and advances global health research and training, particularly in low- and middle-income countries.
  • C. 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.
  • D. 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.
  • E. School of Environment, Education and Development
    The School of Environment, Education and Development is an academic unit at the University of Manchester that focuses on interdisciplinary teaching and research in areas such as environmental studies, education, planning, and international development.
  • 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_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.