Triple
T364914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Environmental Health |
E7937
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
EH Department (Harvard Chan)
EH Department (Harvard Chan) is the Department of Environmental Health at the Harvard T.H. Chan School of Public Health, focusing on how environmental and occupational exposures affect human health and on developing strategies to prevent related diseases.
|
E46423
|
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: EH Department (Harvard Chan) | Statement: [Department of Environmental Health, abbreviation, EH Department (Harvard Chan)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EH Department (Harvard Chan) Context triple: [Department of Environmental Health, abbreviation, EH Department (Harvard Chan)]
-
A.
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.
-
B.
Harvard Center for Population and Development Studies
The Harvard Center for Population and Development Studies is a Harvard research center that investigates global population health, demographic change, and social determinants of health to inform policy and improve well-being worldwide.
-
C.
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.
-
D.
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.
-
E.
Executive Office of Health and Human Services of Massachusetts
The Executive Office of Health and Human Services of Massachusetts is the state’s largest secretariat, overseeing a broad range of health care, public health, and human services agencies and programs for residents of the Commonwealth.
- 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: EH Department (Harvard Chan) Triple: [Department of Environmental Health, abbreviation, EH Department (Harvard Chan)]
Generated description
EH Department (Harvard Chan) is the Department of Environmental Health at the Harvard T.H. Chan School of Public Health, focusing on how environmental and occupational exposures affect human health and on developing strategies to prevent related diseases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EH Department (Harvard Chan) Target entity description: EH Department (Harvard Chan) is the Department of Environmental Health at the Harvard T.H. Chan School of Public Health, focusing on how environmental and occupational exposures affect human health and on developing strategies to prevent related diseases.
-
A.
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.
-
B.
Harvard Center for Population and Development Studies
The Harvard Center for Population and Development Studies is a Harvard research center that investigates global population health, demographic change, and social determinants of health to inform policy and improve well-being worldwide.
-
C.
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.
-
D.
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.
-
E.
Executive Office of Health and Human Services of Massachusetts
The Executive Office of Health and Human Services of Massachusetts is the state’s largest secretariat, overseeing a broad range of health care, public health, and human services agencies and programs for residents of the Commonwealth.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ebe6c1b4819083335e880c205ed6 |
completed | Feb. 28, 2026, 1:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e8668b848190b68d19819ac134df |
completed | March 1, 2026, 7:19 a.m. |
| NEDg | Description generation | batch_69a3ea5beecc8190b128db693db39e95 |
completed | March 1, 2026, 7:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3eba438548190912d5a4a9c0e6528 |
completed | March 1, 2026, 7:32 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.