Triple

T11270129
Position Surface form Disambiguated ID Type / Status
Subject Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data? E266788 entity
Predicate hasTitle P38 FINISHED
Object Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data? E266788 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: Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data? | Statement: [Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?, hasTitle, Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?
Context triple: [Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?, hasTitle, Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?]
  • A. Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data? chosen
    "Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?" is an influential macroeconomics paper by Jordi Galí that empirically evaluates the ability of real business cycle models driven by technology shocks to explain postwar U.S. economic fluctuations.
  • B. Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?
    "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?" is an influential macroeconomics paper by Jordi Galí that empirically investigates how technology shocks affect employment and output over the business cycle.
  • C. “Models of Business Cycles”
    “Models of Business Cycles” is an influential economics book by Robert Lucas Jr. that develops a rigorous, microfounded theory of business cycle fluctuations using rational expectations and real business cycle methodology.
  • D. The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks
    "The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks" is an influential empirical economics paper that quantifies how exogenous tax policy changes impact output and other key macroeconomic variables.
  • E. The New Keynesian Phillips Curve: Time Series Evidence from the Euro Area
    "The New Keynesian Phillips Curve: Time Series Evidence from the Euro Area" is an influential empirical economics paper by Jordi Galí that tests and supports New Keynesian inflation dynamics using euro area data.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9506204819089dc0827483bd948 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccdf9e0c819098a921146e8d6e30 completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.