Triple
T5872464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abdul Latif Jameel |
E130548
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Jameel Clinic for Machine Learning in Health
The Jameel Clinic for Machine Learning in Health is an MIT research center focused on applying artificial intelligence and machine learning to transform disease prevention, diagnosis, and treatment.
|
E552242
|
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: Jameel Clinic for Machine Learning in Health | Statement: [Abdul Latif Jameel, associatedWith, Jameel Clinic for Machine Learning in Health]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jameel Clinic for Machine Learning in Health Context triple: [Abdul Latif Jameel, associatedWith, Jameel Clinic for Machine Learning in Health]
-
A.
Centre for Collaboration with Learning Health Systems Networks
The Centre for Collaboration with Learning Health Systems Networks is a unit within the Norwegian Institute of Public Health that focuses on partnering with health system networks to continuously generate, share, and apply evidence for improving healthcare quality and outcomes.
-
B.
Centre for Collaboration with Digital Health Networks
The Centre for Collaboration with Digital Health Networks is a unit within the Norwegian Institute of Public Health that focuses on coordinating and advancing partnerships and initiatives in digital health.
-
C.
Centre for Digital Health
The Centre for Digital Health is a specialized unit within Norway’s public health system that focuses on developing, implementing, and evaluating digital tools and technologies to improve population health and healthcare services.
-
D.
Lifelong Learning Machines program
The Lifelong Learning Machines program is a DARPA research initiative aimed at developing AI systems that can continuously learn and adapt from experience in dynamic, real-world environments.
-
E.
Deep Learning (book)
Deep Learning (book) is a foundational textbook that systematically introduces the theory and practice of modern deep neural networks, co-authored by leading researchers including Yoshua Bengio.
- 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: Jameel Clinic for Machine Learning in Health Triple: [Abdul Latif Jameel, associatedWith, Jameel Clinic for Machine Learning in Health]
Generated description
The Jameel Clinic for Machine Learning in Health is an MIT research center focused on applying artificial intelligence and machine learning to transform disease prevention, diagnosis, and treatment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jameel Clinic for Machine Learning in Health Target entity description: The Jameel Clinic for Machine Learning in Health is an MIT research center focused on applying artificial intelligence and machine learning to transform disease prevention, diagnosis, and treatment.
-
A.
Centre for Collaboration with Learning Health Systems Networks
The Centre for Collaboration with Learning Health Systems Networks is a unit within the Norwegian Institute of Public Health that focuses on partnering with health system networks to continuously generate, share, and apply evidence for improving healthcare quality and outcomes.
-
B.
Centre for Collaboration with Digital Health Networks
The Centre for Collaboration with Digital Health Networks is a unit within the Norwegian Institute of Public Health that focuses on coordinating and advancing partnerships and initiatives in digital health.
-
C.
Centre for Digital Health
The Centre for Digital Health is a specialized unit within Norway’s public health system that focuses on developing, implementing, and evaluating digital tools and technologies to improve population health and healthcare services.
-
D.
Lifelong Learning Machines program
The Lifelong Learning Machines program is a DARPA research initiative aimed at developing AI systems that can continuously learn and adapt from experience in dynamic, real-world environments.
-
E.
Deep Learning (book)
Deep Learning (book) is a foundational textbook that systematically introduces the theory and practice of modern deep neural networks, co-authored by leading researchers including Yoshua Bengio.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035f99b788190b5b06d83b9499bfa |
completed | March 22, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b114c53081908ea441b2a15c9ab9 |
completed | March 23, 2026, 3:18 a.m. |
| NEDg | Description generation | batch_69c0b1fabe448190be7d93b1f8c17c2a |
completed | March 23, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b29d6048819086c4d4cd01c64a51 |
completed | March 23, 2026, 3:25 a.m. |
Created at: March 22, 2026, 3:56 p.m.