Cures Acceleration Network
E93884
The Cures Acceleration Network is a U.S. program that funds and speeds the development and translation of promising medical treatments from the laboratory to patients.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Cures Acceleration Network canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T789409 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cures Acceleration Network Context triple: [National Center for Advancing Translational Sciences, hasPart, Cures Acceleration Network]
-
A.
Clinton Laboratories
Clinton Laboratories was the original name of what became Oak Ridge National Laboratory, a key U.S. research facility established during the Manhattan Project for nuclear science and technology development.
-
B.
Augmentation Research Center
The Augmentation Research Center was a pioneering research group at SRI International led by Douglas Engelbart, known for groundbreaking work in interactive computing, including the development of the oN-Line System (NLS), the computer mouse, and early hypertext.
-
C.
Canvas Network
Canvas Network is an online learning platform that hosts and delivers massive open online courses (MOOCs) from universities and institutions worldwide.
-
D.
Cadabra, Inc.
Cadabra, Inc. was the original name of the company that later became Amazon, the multinational e-commerce and technology giant founded by Jeff Bezos.
-
E.
Cambridge Centre for Alternative Finance
The Cambridge Centre for Alternative Finance is a research institute at the University of Cambridge that focuses on the study of financial innovation, including fintech, alternative finance, and digital assets.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cures Acceleration Network Target entity description: The Cures Acceleration Network is a U.S. program that funds and speeds the development and translation of promising medical treatments from the laboratory to patients.
-
A.
Clinton Laboratories
Clinton Laboratories was the original name of what became Oak Ridge National Laboratory, a key U.S. research facility established during the Manhattan Project for nuclear science and technology development.
-
B.
Augmentation Research Center
The Augmentation Research Center was a pioneering research group at SRI International led by Douglas Engelbart, known for groundbreaking work in interactive computing, including the development of the oN-Line System (NLS), the computer mouse, and early hypertext.
-
C.
Canvas Network
Canvas Network is an online learning platform that hosts and delivers massive open online courses (MOOCs) from universities and institutions worldwide.
-
D.
Cadabra, Inc.
Cadabra, Inc. was the original name of the company that later became Amazon, the multinational e-commerce and technology giant founded by Jeff Bezos.
-
E.
Cambridge Centre for Alternative Finance
The Cambridge Centre for Alternative Finance is a research institute at the University of Cambridge that focuses on the study of financial innovation, including fintech, alternative finance, and digital assets.
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
U.S. federal program
ⓘ
biomedical research funding program ⓘ |
| activity |
provides funding for translational research projects
ⓘ
supports development of biologics ⓘ supports development of diagnostics ⓘ supports development of drugs ⓘ supports development of medical devices ⓘ supports development of therapeutic platforms ⓘ |
| administeredBy | National Center for Advancing Translational Sciences ⓘ |
| beneficiary |
biomedical researchers
ⓘ
medical product developers ⓘ patients ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| field |
biomedical research
ⓘ
drug development ⓘ medical product development ⓘ translational medicine ⓘ |
| focusesOn |
high-need medical conditions
ⓘ
promising medical treatments ⓘ translation of basic research into clinical applications ⓘ |
| fundingSource |
United States government
ⓘ
surface form:
U.S. federal government
|
| goal |
to bridge the gap between laboratory discoveries and patient care
ⓘ
to reduce the time needed to develop new medical products ⓘ |
| hasPurpose |
to accelerate translation of medical products from laboratory to patients
ⓘ
to fund the development of promising medical treatments ⓘ |
| legalBasis | U.S. federal law ⓘ |
| partOf | National Institutes of Health ⓘ |
| sector | public sector ⓘ |
| supportsStage |
early-stage clinical development
ⓘ
late-stage preclinical development ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Cures Acceleration Network Description of subject: The Cures Acceleration Network is a U.S. program that funds and speeds the development and translation of promising medical treatments from the laboratory to patients.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.