Triple
T22339774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jameel Clinic for Machine Learning in Health |
E552242
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | MIT Jameel Clinic |
—
|
NE NERFINISHED |
How this triple was built (3 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: MIT Jameel Clinic | Statement: [Jameel Clinic for Machine Learning in Health, shortName, MIT Jameel Clinic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIT Jameel Clinic Context triple: [Jameel Clinic for Machine Learning in Health, shortName, MIT Jameel Clinic]
-
A.
King Fahd Medical Research Center
King Fahd Medical Research Center is a biomedical research institute affiliated with King Abdulaziz University in Saudi Arabia, focusing on advancing medical science and healthcare through research and innovation.
-
B.
Sharjah Institute for Medical Research
Sharjah Institute for Medical Research is a specialized biomedical research center affiliated with the University of Sharjah, focusing on advancing medical science and healthcare in the region.
-
C.
Cambridge Biomedical Innovation Hub
The Cambridge Biomedical Innovation Hub is a major research and development center that drives translational biomedical innovation within Cambridge’s world-leading life sciences cluster.
-
D.
Sidra Medicine
Sidra Medicine is a specialized women’s and children’s hospital and research center in Qatar, known for providing advanced, state-of-the-art healthcare and medical education.
-
E.
Cambridge Stem Cell Institute
The Cambridge Stem Cell Institute is a leading research center at the University of Cambridge dedicated to understanding stem cell biology and translating this knowledge into new treatments for human disease.
- 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: MIT Jameel Clinic Target entity description: MIT Jameel Clinic is a research center at the Massachusetts Institute of Technology focused on advancing healthcare through machine learning and artificial intelligence.
-
A.
King Fahd Medical Research Center
King Fahd Medical Research Center is a biomedical research institute affiliated with King Abdulaziz University in Saudi Arabia, focusing on advancing medical science and healthcare through research and innovation.
-
B.
Sharjah Institute for Medical Research
Sharjah Institute for Medical Research is a specialized biomedical research center affiliated with the University of Sharjah, focusing on advancing medical science and healthcare in the region.
-
C.
Cambridge Biomedical Innovation Hub
The Cambridge Biomedical Innovation Hub is a major research and development center that drives translational biomedical innovation within Cambridge’s world-leading life sciences cluster.
-
D.
Sidra Medicine
Sidra Medicine is a specialized women’s and children’s hospital and research center in Qatar, known for providing advanced, state-of-the-art healthcare and medical education.
-
E.
Cambridge Stem Cell Institute
The Cambridge Stem Cell Institute is a leading research center at the University of Cambridge dedicated to understanding stem cell biology and translating this knowledge into new treatments for human disease.
- F. None of above. chosen
Provenance (2 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157824f588190882bea9e61dd5a83 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:43 p.m.