Triple

T4704926
Position Surface form Disambiguated ID Type / Status
Subject Mailman School of Public Health E104368 entity
Predicate hasDepartment P35 FINISHED
Object Department of Health Policy and Management
The Department of Health Policy and Management is an academic unit that focuses on research and education in health policy, health systems, and healthcare management within the Mailman School of Public Health.
E462162 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 Health Policy and Management | Statement: [Mailman School of Public Health, hasDepartment, Department of Health Policy and Management]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Health Policy and Management
Context triple: [Mailman School of Public Health, hasDepartment, Department of Health Policy and Management]
  • A. Department of Health Policy and Management
    The Department of Health Policy and Management is an academic unit at the Harvard T.H. Chan School of Public Health focused on research and education in health policy, health systems, and healthcare management.
  • B. Department of Health and Behavior Studies
    The Department of Health and Behavior Studies is an academic unit at Teachers College, Columbia University that focuses on research and graduate education in health, behavioral sciences, and related professional practice fields.
  • C. School of Public Health
    The School of Public Health at Boston University is a graduate-level institution focused on research, education, and practice in public health disciplines such as epidemiology, biostatistics, health policy, and global health.
  • D. School of Public Health
    The University of Michigan School of Public Health is a leading institution dedicated to research, education, and practice in public health disciplines such as epidemiology, health management, and environmental health.
  • E. 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.
  • 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 Health Policy and Management
Triple: [Mailman School of Public Health, hasDepartment, Department of Health Policy and Management]
Generated description
The Department of Health Policy and Management is an academic unit that focuses on research and education in health policy, health systems, and healthcare management within the Mailman School of Public Health.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Health Policy and Management
Target entity description: The Department of Health Policy and Management is an academic unit that focuses on research and education in health policy, health systems, and healthcare management within the Mailman School of Public Health.
  • A. Department of Health Policy and Management
    The Department of Health Policy and Management is an academic unit at the Harvard T.H. Chan School of Public Health focused on research and education in health policy, health systems, and healthcare management.
  • B. Department of Health and Behavior Studies
    The Department of Health and Behavior Studies is an academic unit at Teachers College, Columbia University that focuses on research and graduate education in health, behavioral sciences, and related professional practice fields.
  • C. School of Public Health
    The School of Public Health at Boston University is a graduate-level institution focused on research, education, and practice in public health disciplines such as epidemiology, biostatistics, health policy, and global health.
  • D. School of Public Health
    The University of Michigan School of Public Health is a leading institution dedicated to research, education, and practice in public health disciplines such as epidemiology, health management, and environmental health.
  • E. 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.
  • 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_69bd43e9b88481908582103dcadff3d9 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd63d1e9c48190bad5f7d68bf0f622 completed March 20, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03d074348190a19092fa02a0bb39 completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be050e0f488190804c512e7cc17c56 completed March 21, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69be05a6bed081909c8d8830fb103610 completed March 21, 2026, 2:42 a.m.
Created at: March 20, 2026, 1:17 p.m.