Triple
T8025876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Life Sciences & Medicine |
E186851
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
School of Life Course & Population Sciences
The School of Life Course & Population Sciences is an academic unit focused on understanding health and disease across the lifespan and within populations, typically through interdisciplinary research and teaching in epidemiology, public health, and related fields.
|
E590680
|
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: School of Life Course & Population Sciences | Statement: [Faculty of Life Sciences & Medicine, hasUnit, School of Life Course & Population Sciences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Life Course & Population Sciences Context triple: [Faculty of Life Sciences & Medicine, hasUnit, School of Life Course & Population Sciences]
-
A.
Institute of Population and Public Health
The Institute of Population and Public Health is a Canadian research body that supports and advances research on population health, public health policy, and health equity across communities.
-
B.
School of Population and Public Health
The School of Population and Public Health is an academic unit specializing in research and education on public health, epidemiology, and population health sciences.
-
C.
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.
-
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 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.
- 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: School of Life Course & Population Sciences Triple: [Faculty of Life Sciences & Medicine, hasUnit, School of Life Course & Population Sciences]
Generated description
The School of Life Course & Population Sciences is an academic unit focused on understanding health and disease across the lifespan and within populations, typically through interdisciplinary research and teaching in epidemiology, public health, and related fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Life Course & Population Sciences Target entity description: The School of Life Course & Population Sciences is an academic unit focused on understanding health and disease across the lifespan and within populations, typically through interdisciplinary research and teaching in epidemiology, public health, and related fields.
-
A.
Institute of Population and Public Health
The Institute of Population and Public Health is a Canadian research body that supports and advances research on population health, public health policy, and health equity across communities.
-
B.
School of Population and Public Health
chosen
The School of Population and Public Health is an academic unit specializing in research and education on public health, epidemiology, and population health sciences.
-
C.
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.
-
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 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.
- F. None of above.
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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ec9983c8190b468c13f5b5beb63 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56da597c8190931091482d60b0a6 |
completed | March 31, 2026, 11:20 p.m. |
| NEDg | Description generation | batch_69cc58aac4288190a2be4691fc740171 |
completed | March 31, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5cbf8278819085ff32a0494d544e |
completed | March 31, 2026, 11:46 p.m. |
Created at: March 30, 2026, 5:21 p.m.