Triple
T5683507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NYU Grossman School of Medicine |
E125252
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
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.
|
E539920
|
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 Population Health | Statement: [NYU Grossman School of Medicine, hasDepartment, Department of Population Health]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Population Health Context triple: [NYU Grossman School of Medicine, hasDepartment, Department of Population Health]
-
A.
Department of Population and Family Health
The Department of Population and Family Health is an academic unit at Columbia University’s Mailman School of Public Health that focuses on global population dynamics, reproductive and sexual health, maternal and child health, and related public health policy and practice.
-
B.
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.
-
C.
Office of Population Health
The Office of Population Health is a division within the Massachusetts Department of Public Health that focuses on improving health outcomes and reducing health disparities across communities through data-driven policies and programs.
-
D.
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.
-
E.
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.
- 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 Population Health Triple: [NYU Grossman School of Medicine, hasDepartment, Department of Population Health]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Population Health Target entity description: 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.
-
A.
Department of Population and Family Health
The Department of Population and Family Health is an academic unit at Columbia University’s Mailman School of Public Health that focuses on global population dynamics, reproductive and sexual health, maternal and child health, and related public health policy and practice.
-
B.
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.
-
C.
Office of Population Health
The Office of Population Health is a division within the Massachusetts Department of Public Health that focuses on improving health outcomes and reducing health disparities across communities through data-driven policies and programs.
-
D.
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.
-
E.
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.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023b780248190a912d2dddbd0aa17 |
completed | March 22, 2026, 5:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a39756c819098b06911c58d50a8 |
completed | March 22, 2026, 9:08 p.m. |
| NEDg | Description generation | batch_69c05d5cce248190abf49b02513fe06e |
completed | March 22, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05e061ff88190b9387358cc8bc199 |
completed | March 22, 2026, 9:24 p.m. |
Created at: March 22, 2026, 3:44 p.m.