Triple

T7478578
Position Surface form Disambiguated ID Type / Status
Subject USC Price School of Public Policy E176690 entity
Predicate hasDepartment P35 FINISHED
Object Department of Health Policy and Management
The Department of Health Policy and Management is an academic unit at the USC Price School of Public Policy focused on research and education in health policy, health care management, and health systems improvement.
E666974 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: [USC Price School of Public Policy, 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: [USC Price School of Public Policy, 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 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.
  • C. Department of Health Policy and Systems
    The Department of Health Policy and Systems is an academic and research unit focused on analyzing, developing, and improving health policies and health systems organization and performance.
  • D. Department of Population Health
    The Department of Population Health is an academic and research unit at NYU Grossman School of Medicine focused on studying and improving health outcomes at the community and population levels through epidemiology, health policy, and related disciplines.
  • E. 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.
  • 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: [USC Price School of Public Policy, hasDepartment, Department of Health Policy and Management]
Generated description
The Department of Health Policy and Management is an academic unit at the USC Price School of Public Policy focused on research and education in health policy, health care management, and health systems improvement.
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 at the USC Price School of Public Policy focused on research and education in health policy, health care management, and health systems improvement.
  • 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 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.
  • C. Department of Health Policy and Systems
    The Department of Health Policy and Systems is an academic and research unit focused on analyzing, developing, and improving health policies and health systems organization and performance.
  • D. Department of Population Health
    The Department of Population Health is an academic and research unit at NYU Grossman School of Medicine focused on studying and improving health outcomes at the community and population levels through epidemiology, health policy, and related disciplines.
  • E. 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.
  • 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_69c69f236ce08190a04d7679f03b29b2 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f4f13f548190a8cc59165735b30e completed March 27, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8348e8d108190b77e59e9df336d81 completed March 28, 2026, 8:05 p.m.
NEDg Description generation batch_69c836441e3081909671c8c118429eb5 completed March 28, 2026, 8:12 p.m.
NED2 Entity disambiguation (via description) batch_69c836c34a488190a84e0136bc02f1cd completed March 28, 2026, 8:14 p.m.
Created at: March 27, 2026, 3:42 p.m.