Triple
T2518112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Medical Association |
E55459
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
American Medical Association Council on Science and Public Health
The American Medical Association Council on Science and Public Health is an expert advisory body within the AMA that evaluates scientific evidence and public health issues to inform the association’s policies and recommendations.
|
E274453
|
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: American Medical Association Council on Science and Public Health | Statement: [American Medical Association, hasPart, American Medical Association Council on Science and Public Health]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: American Medical Association Council on Science and Public Health Context triple: [American Medical Association, hasPart, American Medical Association Council on Science and Public Health]
-
A.
American Medical Association
The American Medical Association is a leading professional organization for physicians in the United States that sets ethical standards, influences health policy, and advocates for the medical profession and patient care.
-
B.
American Public Health Association
The American Public Health Association is a leading professional organization in the United States that advocates for public health, advances health equity, and supports research and practice across the public health field.
-
C.
Council of Medical Specialty Societies
The Council of Medical Specialty Societies is a coalition of leading U.S. medical specialty organizations that collaborates to advance education, research, and high standards in patient care.
-
D.
National Academy of Medicine
The National Academy of Medicine is a leading U.S. nonprofit institution that provides expert, evidence-based advice on health, medicine, and biomedical science to inform policy and improve public health.
-
E.
Association of American Physicians
The Association of American Physicians is an honorific, elected society of leading physician-scientists in the United States dedicated to advancing medical research and clinical practice.
- 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: American Medical Association Council on Science and Public Health Triple: [American Medical Association, hasPart, American Medical Association Council on Science and Public Health]
Generated description
The American Medical Association Council on Science and Public Health is an expert advisory body within the AMA that evaluates scientific evidence and public health issues to inform the association’s policies and recommendations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: American Medical Association Council on Science and Public Health Target entity description: The American Medical Association Council on Science and Public Health is an expert advisory body within the AMA that evaluates scientific evidence and public health issues to inform the association’s policies and recommendations.
-
A.
American Medical Association
The American Medical Association is a leading professional organization for physicians in the United States that sets ethical standards, influences health policy, and advocates for the medical profession and patient care.
-
B.
American Public Health Association
The American Public Health Association is a leading professional organization in the United States that advocates for public health, advances health equity, and supports research and practice across the public health field.
-
C.
Council of Medical Specialty Societies
The Council of Medical Specialty Societies is a coalition of leading U.S. medical specialty organizations that collaborates to advance education, research, and high standards in patient care.
-
D.
National Academy of Medicine
The National Academy of Medicine is a leading U.S. nonprofit institution that provides expert, evidence-based advice on health, medicine, and biomedical science to inform policy and improve public health.
-
E.
Association of American Physicians
The Association of American Physicians is an honorific, elected society of leading physician-scientists in the United States dedicated to advancing medical research and clinical practice.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2111d28819099884a2bec5e0366 |
completed | March 7, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b9ef8048190bafff3f1853321cb |
completed | March 9, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69af4e240bbc8190bc2392498e3a6be8 |
completed | March 9, 2026, 10:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af4e816174819095ab81c3902756d6 |
completed | March 9, 2026, 10:49 p.m. |
Created at: March 6, 2026, 9:46 p.m.