Triple

T1151208
Position Surface form Disambiguated ID Type / Status
Subject International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use E23680 entity
Predicate notableWork P4 FINISHED
Object ICH E2A Clinical Safety Data Management
ICH E2A Clinical Safety Data Management is an international guideline that standardizes the collection, reporting, and evaluation of clinical safety data in drug development to support consistent pharmacovigilance and regulatory decision-making.
E131970 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: ICH E2A Clinical Safety Data Management | Statement: [International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use, notableWork, ICH E2A Clinical Safety Data Management]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICH E2A Clinical Safety Data Management
Context triple: [International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use, notableWork, ICH E2A Clinical Safety Data Management]
  • A. Pharmacovigilance Risk Assessment Committee within the European Medicines Agency
    The Pharmacovigilance Risk Assessment Committee within the European Medicines Agency is an expert body responsible for evaluating and monitoring the safety of medicines across the European Union and providing recommendations on managing and communicating medicine-related risks.
  • B. Integrating the Healthcare Enterprise
    Integrating the Healthcare Enterprise (IHE) is an initiative by healthcare professionals and industry to improve the way computer systems in healthcare share information by promoting the coordinated use of established standards.
  • C. Management Board of the European Medicines Agency
    The Management Board of the European Medicines Agency is the governing body that oversees the agency’s strategy, budget, and overall operations in regulating medicines within the European Union.
  • D. IHE Patient Care Device profiles
    IHE Patient Care Device profiles are interoperability specifications that define how medical devices integrate and exchange data within healthcare IT systems to support safe, coordinated patient care.
  • E. Clinical Practices of the University of Pennsylvania
    Clinical Practices of the University of Pennsylvania is the faculty practice plan and outpatient clinical arm of Penn Medicine, providing patient care across a wide range of specialties in collaboration with the University of Pennsylvania’s health system.
  • 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: ICH E2A Clinical Safety Data Management
Triple: [International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use, notableWork, ICH E2A Clinical Safety Data Management]
Generated description
ICH E2A Clinical Safety Data Management is an international guideline that standardizes the collection, reporting, and evaluation of clinical safety data in drug development to support consistent pharmacovigilance and regulatory decision-making.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ICH E2A Clinical Safety Data Management
Target entity description: ICH E2A Clinical Safety Data Management is an international guideline that standardizes the collection, reporting, and evaluation of clinical safety data in drug development to support consistent pharmacovigilance and regulatory decision-making.
  • A. Pharmacovigilance Risk Assessment Committee within the European Medicines Agency
    The Pharmacovigilance Risk Assessment Committee within the European Medicines Agency is an expert body responsible for evaluating and monitoring the safety of medicines across the European Union and providing recommendations on managing and communicating medicine-related risks.
  • B. Integrating the Healthcare Enterprise
    Integrating the Healthcare Enterprise (IHE) is an initiative by healthcare professionals and industry to improve the way computer systems in healthcare share information by promoting the coordinated use of established standards.
  • C. Management Board of the European Medicines Agency
    The Management Board of the European Medicines Agency is the governing body that oversees the agency’s strategy, budget, and overall operations in regulating medicines within the European Union.
  • D. IHE Patient Care Device profiles
    IHE Patient Care Device profiles are interoperability specifications that define how medical devices integrate and exchange data within healthcare IT systems to support safe, coordinated patient care.
  • E. Clinical Practices of the University of Pennsylvania
    Clinical Practices of the University of Pennsylvania is the faculty practice plan and outpatient clinical arm of Penn Medicine, providing patient care across a wide range of specialties in collaboration with the University of Pennsylvania’s health system.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc744e7c81908f8612f2aad28600 completed March 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5eb5d36c8190916a43a5f41df144 completed March 7, 2026, 5:21 p.m.
NEDg Description generation batch_69ac5f4756b08190b3dbaf64a9351836 completed March 7, 2026, 5:24 p.m.
NED2 Entity disambiguation (via description) batch_69ac600f78148190bd3109276f7b9e3a completed March 7, 2026, 5:27 p.m.
Created at: March 1, 2026, 7:44 p.m.