Triple

T12029062
Position Surface form Disambiguated ID Type / Status
Subject Executive Order 13563 E286354 entity
Predicate title P38 FINISHED
Object Improving Regulation and Regulatory Review
"Improving Regulation and Regulatory Review" is the formal title of Executive Order 13563, a U.S. presidential directive aimed at modernizing and streamlining the federal regulatory system to enhance efficiency, transparency, and public participation.
E959894 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: Improving Regulation and Regulatory Review | Statement: [Executive Order 13563, title, Improving Regulation and Regulatory Review]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Improving Regulation and Regulatory Review
Context triple: [Executive Order 13563, title, Improving Regulation and Regulatory Review]
  • A. Penn Program on Regulation
    The Penn Program on Regulation is a research and policy initiative at the University of Pennsylvania focused on improving the design, implementation, and understanding of regulatory systems across diverse sectors.
  • B. The Mechanisms of Governance
    The Mechanisms of Governance is a seminal book by economist Oliver E. Williamson that develops and applies transaction cost economics to explain how different organizational and contractual arrangements structure economic activity.
  • C. Cornell e-Rulemaking Initiative
    The Cornell e-Rulemaking Initiative is a research and policy center that develops and studies online tools to improve public participation and transparency in the federal rulemaking process.
  • D. Reports on the relation of accounting standards to corporate regulation
    "Reports on the relation of accounting standards to corporate regulation" is a governmental investigative report analyzing how accounting rules influence and interact with the oversight and control of corporations.
  • E. Redesigning the Public Sector
    "Redesigning the Public Sector" is a book by economist Vicky Pryce that examines how to reform and modernize government services to improve efficiency, accountability, and outcomes.
  • 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: Improving Regulation and Regulatory Review
Triple: [Executive Order 13563, title, Improving Regulation and Regulatory Review]
Generated description
"Improving Regulation and Regulatory Review" is the formal title of Executive Order 13563, a U.S. presidential directive aimed at modernizing and streamlining the federal regulatory system to enhance efficiency, transparency, and public participation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Improving Regulation and Regulatory Review
Target entity description: "Improving Regulation and Regulatory Review" is the formal title of Executive Order 13563, a U.S. presidential directive aimed at modernizing and streamlining the federal regulatory system to enhance efficiency, transparency, and public participation.
  • A. Penn Program on Regulation
    The Penn Program on Regulation is a research and policy initiative at the University of Pennsylvania focused on improving the design, implementation, and understanding of regulatory systems across diverse sectors.
  • B. The Mechanisms of Governance
    The Mechanisms of Governance is a seminal book by economist Oliver E. Williamson that develops and applies transaction cost economics to explain how different organizational and contractual arrangements structure economic activity.
  • C. Cornell e-Rulemaking Initiative
    The Cornell e-Rulemaking Initiative is a research and policy center that develops and studies online tools to improve public participation and transparency in the federal rulemaking process.
  • D. Reports on the relation of accounting standards to corporate regulation
    "Reports on the relation of accounting standards to corporate regulation" is a governmental investigative report analyzing how accounting rules influence and interact with the oversight and control of corporations.
  • E. Redesigning the Public Sector
    "Redesigning the Public Sector" is a book by economist Vicky Pryce that examines how to reform and modernize government services to improve efficiency, accountability, and outcomes.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f13ae8819097a5740f7c51df82 completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48b8d37ec81908d4a1668e932ca5b completed May 1, 2026, 11:16 a.m.
NEDg Description generation batch_69f48fc7a8848190a06b34cc45db4789 completed May 1, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_69f495fbfa2481908a1d757a27909d5a completed May 1, 2026, 12:01 p.m.
Created at: April 8, 2026, 9:47 p.m.