Triple

T3796793
Position Surface form Disambiguated ID Type / Status
Subject Software Engineering Institute E91588 entity
Predicate notableWork P4 FINISHED
Object CERT Resilience Management Model
The CERT Resilience Management Model is a framework developed by the Software Engineering Institute to help organizations systematically manage and improve their operational resilience, cybersecurity, and business continuity practices.
E389079 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: CERT Resilience Management Model | Statement: [Software Engineering Institute, notableWork, CERT Resilience Management Model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CERT Resilience Management Model
Context triple: [Software Engineering Institute, notableWork, CERT Resilience Management Model]
  • A. Global Platform for Disaster Risk Reduction
    The Global Platform for Disaster Risk Reduction is a biennial multi-stakeholder forum that serves as the main global venue for assessing progress, sharing knowledge, and setting priorities in reducing disaster risk and building resilience.
  • B. National Security Risk Assessment process
    The National Security Risk Assessment process is a systematic government framework for identifying, evaluating, and prioritizing threats and hazards to a nation’s security to inform policy and preparedness.
  • C. Warning Decision Support System – Integrated Information
    Warning Decision Support System – Integrated Information is a meteorological decision-support tool that integrates diverse weather data to help forecasters issue more accurate and timely severe weather warnings.
  • D. National Incident Management System
    The National Incident Management System is a standardized framework developed by the U.S. Department of Homeland Security to guide all levels of government, nongovernmental organizations, and the private sector in coordinating responses to emergencies and disasters.
  • E. United States emergency management system
    The United States emergency management system is the nationwide framework of agencies, policies, and procedures responsible for preparing for, responding to, and recovering from natural disasters, technological incidents, and national security emergencies.
  • 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: CERT Resilience Management Model
Triple: [Software Engineering Institute, notableWork, CERT Resilience Management Model]
Generated description
The CERT Resilience Management Model is a framework developed by the Software Engineering Institute to help organizations systematically manage and improve their operational resilience, cybersecurity, and business continuity practices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CERT Resilience Management Model
Target entity description: The CERT Resilience Management Model is a framework developed by the Software Engineering Institute to help organizations systematically manage and improve their operational resilience, cybersecurity, and business continuity practices.
  • A. Global Platform for Disaster Risk Reduction
    The Global Platform for Disaster Risk Reduction is a biennial multi-stakeholder forum that serves as the main global venue for assessing progress, sharing knowledge, and setting priorities in reducing disaster risk and building resilience.
  • B. National Security Risk Assessment process
    The National Security Risk Assessment process is a systematic government framework for identifying, evaluating, and prioritizing threats and hazards to a nation’s security to inform policy and preparedness.
  • C. Warning Decision Support System – Integrated Information
    Warning Decision Support System – Integrated Information is a meteorological decision-support tool that integrates diverse weather data to help forecasters issue more accurate and timely severe weather warnings.
  • D. National Incident Management System
    The National Incident Management System is a standardized framework developed by the U.S. Department of Homeland Security to guide all levels of government, nongovernmental organizations, and the private sector in coordinating responses to emergencies and disasters.
  • E. United States emergency management system
    The United States emergency management system is the nationwide framework of agencies, policies, and procedures responsible for preparing for, responding to, and recovering from natural disasters, technological incidents, and national security emergencies.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7a0818481909460197929ebb8e4 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f061a9e481908d16ae0aa44e2f16 completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f25fab648190abbded4d44357c54 completed March 14, 2026, 5:30 a.m.
NED2 Entity disambiguation (via description) batch_69b4f314a63c8190a76ed8f4bd21eaf5 completed March 14, 2026, 5:33 a.m.
Created at: March 9, 2026, 3:15 p.m.