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.