Triple

T8656726
Position Surface form Disambiguated ID Type / Status
Subject Cary Coglianese E205437 entity
Predicate affiliation P10 FINISHED
Object Penn Program on Regulation E748732 NE FINISHED

How this triple was built (2 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: Penn Program on Regulation | Statement: [Cary Coglianese, affiliation, Penn Program on Regulation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Penn Program on Regulation
Context triple: [Cary Coglianese, affiliation, Penn Program on Regulation]
  • A. Penn Program on Regulation chosen
    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. Law and Economics Program
    The Law and Economics Program is an interdisciplinary academic initiative that integrates legal studies with economic theory and quantitative methods to analyze and inform law and public policy.
  • C. Reports on the relation of transportation regulation to corporate power
    "Reports on the relation of transportation regulation to corporate power" is an investigative study by the U.S. Bureau of Corporations analyzing how government oversight of transportation affects the influence and practices of large corporations.
  • D. Harvard school of antitrust
    The Harvard school of antitrust is a traditional legal-economic approach to competition law that emphasizes market structure, concentration, and potential harms to competitors as key indicators of anticompetitive behavior.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc484569788190aa41395854684e6f completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef373a22c8190931b4107c68e7017 completed April 2, 2026, 10:53 p.m.
Created at: March 30, 2026, 6:30 p.m.