Triple
T439886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hewlett Foundation |
E10090
|
entity |
| Predicate | program |
P804
|
FINISHED |
| Object |
Global Development and Population Program
The Global Development and Population Program is a Hewlett Foundation initiative that supports evidence-based policies and organizations working to reduce poverty, improve governance, and advance reproductive health and rights worldwide.
|
E55135
|
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: Global Development and Population Program | Statement: [Hewlett Foundation, program, Global Development and Population Program]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Global Development and Population Program Context triple: [Hewlett Foundation, program, Global Development and Population Program]
-
A.
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.
-
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.
Center for Global Health
The Center for Global Health is a division of the U.S. Centers for Disease Control and Prevention that leads and coordinates efforts to prevent, detect, and respond to health threats worldwide.
-
D.
Center for Global Health
The Center for Global Health is a division of the U.S. National Cancer Institute that leads and coordinates international efforts to reduce the global burden of cancer through research, partnerships, and capacity-building.
-
E.
Center for Health and the Global Environment
The Center for Health and the Global Environment is a research and policy institute that examines how environmental change affects human health and promotes sustainable solutions to protect both people and the planet.
- 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: Global Development and Population Program Triple: [Hewlett Foundation, program, Global Development and Population Program]
Generated description
The Global Development and Population Program is a Hewlett Foundation initiative that supports evidence-based policies and organizations working to reduce poverty, improve governance, and advance reproductive health and rights worldwide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Global Development and Population Program Target entity description: The Global Development and Population Program is a Hewlett Foundation initiative that supports evidence-based policies and organizations working to reduce poverty, improve governance, and advance reproductive health and rights worldwide.
-
A.
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.
-
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.
Center for Global Health
The Center for Global Health is a division of the U.S. Centers for Disease Control and Prevention that leads and coordinates efforts to prevent, detect, and respond to health threats worldwide.
-
D.
Center for Global Health
The Center for Global Health is a division of the U.S. National Cancer Institute that leads and coordinates international efforts to reduce the global burden of cancer through research, partnerships, and capacity-building.
-
E.
Center for Health and the Global Environment
The Center for Health and the Global Environment is a research and policy institute that examines how environmental change affects human health and promotes sustainable solutions to protect both people and the planet.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef2977888190a0590b2c1bd2f5da |
completed | Feb. 28, 2026, 1:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4366fc48c8190a10f1034a2bb579c |
completed | March 1, 2026, 12:51 p.m. |
| NEDg | Description generation | batch_69a436b31fc8819081b0a7b49a1ad3cc |
completed | March 1, 2026, 12:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a43755152881909a4dfa8b31a0aad6 |
completed | March 1, 2026, 12:55 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.