Triple

T23378299
Position Surface form Disambiguated ID Type / Status
Subject Duke University School of Law publications E593666 entity
Predicate publishes P80 FINISHED
Object Duke Law and Technology Review NE NERFINISHED

How this triple was built (3 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: Duke Law and Technology Review | Statement: [Duke University School of Law publications, publishes, Duke Law and Technology Review]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duke Law and Technology Review
Context triple: [Duke University School of Law publications, publishes, Duke Law and Technology Review]
  • A. Rutgers Computer and Technology Law Journal
    The Rutgers Computer and Technology Law Journal is a scholarly legal periodical focusing on issues at the intersection of law, technology, and computer-related innovation.
  • B. Stanford Technology Law Review
    The Stanford Technology Law Review is an academic journal focusing on legal issues arising from technology, the internet, and intellectual property.
  • C. Pittsburgh Journal of Technology Law and Policy
    The Pittsburgh Journal of Technology Law and Policy is an academic law review focused on legal and policy issues arising from technology and innovation.
  • D. Canadian Journal of Law and Technology
    The Canadian Journal of Law and Technology is an academic law review focusing on the intersection of law, technology, and policy in Canada and beyond.
  • E. Columbia Science and Technology Law Review
    Columbia Science and Technology Law Review is a student-edited legal journal at Columbia Law School focusing on issues at the intersection of law, science, and technology.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Duke Law and Technology Review
Target entity description: Duke Law and Technology Review is an online legal journal that focuses on the intersection of law, technology, and public policy, produced by students at Duke University School of Law.
  • A. Rutgers Computer and Technology Law Journal
    The Rutgers Computer and Technology Law Journal is a scholarly legal periodical focusing on issues at the intersection of law, technology, and computer-related innovation.
  • B. Stanford Technology Law Review
    The Stanford Technology Law Review is an academic journal focusing on legal issues arising from technology, the internet, and intellectual property.
  • C. Pittsburgh Journal of Technology Law and Policy
    The Pittsburgh Journal of Technology Law and Policy is an academic law review focused on legal and policy issues arising from technology and innovation.
  • D. Canadian Journal of Law and Technology
    The Canadian Journal of Law and Technology is an academic law review focusing on the intersection of law, technology, and policy in Canada and beyond.
  • E. Columbia Science and Technology Law Review
    Columbia Science and Technology Law Review is a student-edited legal journal at Columbia Law School focusing on issues at the intersection of law, science, and technology.
  • F. None of above. chosen

Provenance (2 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_69e25d268a50819095f2fd479da8ef3f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a3b526ec8190b0304c72a9010abb completed April 29, 2026, 6:22 a.m.
Created at: April 17, 2026, 5:33 p.m.