Triple

T17771283
Position Surface form Disambiguated ID Type / Status
Subject Armen Alchian E443644 entity
Predicate notableWork P4 FINISHED
Object “University Economics” 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: “University Economics” | Statement: [Armen Alchian, notableWork, “University Economics”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “University Economics”
Context triple: [Armen Alchian, notableWork, “University Economics”]
  • A. "Principles of Economics"
    "Principles of Economics" is a widely used introductory economics textbook by Gregory Mankiw that presents core microeconomic and macroeconomic concepts in an accessible, principles-based framework.
  • B. "Principles of Microeconomics"
    "Principles of Microeconomics" is a widely used introductory economics textbook that explains the fundamental concepts and tools of microeconomic analysis for undergraduate students.
  • C. "Principles of Macroeconomics"
    "Principles of Macroeconomics" is a widely used introductory economics textbook that presents core macroeconomic concepts such as GDP, inflation, unemployment, and monetary and fiscal policy in a clear, accessible manner.
  • D. “Essays in Economics”
    “Essays in Economics” is a collection of influential economic writings by Nobel laureate James Tobin, reflecting his contributions to macroeconomic theory and policy.
  • E. Lessons for the Young Economist
    Lessons for the Young Economist is an introductory economics book by Robert P. Murphy that explains core economic principles to beginners, especially younger readers, using clear language and everyday examples.
  • 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: “University Economics”
Target entity description: “University Economics” is an influential introductory economics textbook co-authored by Armen Alchian that emphasizes property rights, market processes, and real-world applications of economic theory.
  • A. "Principles of Economics"
    "Principles of Economics" is a widely used introductory economics textbook by Gregory Mankiw that presents core microeconomic and macroeconomic concepts in an accessible, principles-based framework.
  • B. "Principles of Microeconomics"
    "Principles of Microeconomics" is a widely used introductory economics textbook that explains the fundamental concepts and tools of microeconomic analysis for undergraduate students.
  • C. "Principles of Macroeconomics"
    "Principles of Macroeconomics" is a widely used introductory economics textbook that presents core macroeconomic concepts such as GDP, inflation, unemployment, and monetary and fiscal policy in a clear, accessible manner.
  • D. “Essays in Economics”
    “Essays in Economics” is a collection of influential economic writings by Nobel laureate James Tobin, reflecting his contributions to macroeconomic theory and policy.
  • E. Lessons for the Young Economist
    Lessons for the Young Economist is an introductory economics book by Robert P. Murphy that explains core economic principles to beginners, especially younger readers, using clear language and everyday examples.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e486005770819085d637279b2334eb completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.