Triple

T16817088
Position Surface form Disambiguated ID Type / Status
Subject Dale T. Mortensen E408780 entity
Predicate knownFor P22 FINISHED
Object Diamond–Mortensen–Pissarides model
The Diamond–Mortensen–Pissarides model is a foundational macroeconomic framework that explains unemployment, job creation, and labor market frictions through search and matching between workers and firms.
E1235496 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: Diamond–Mortensen–Pissarides model | Statement: [Dale T. Mortensen, knownFor, Diamond–Mortensen–Pissarides model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diamond–Mortensen–Pissarides model
Context triple: [Dale T. Mortensen, knownFor, Diamond–Mortensen–Pissarides model]
  • A. Ramsey–Cass–Koopmans model
    The Ramsey–Cass–Koopmans model is a foundational neoclassical growth model in macroeconomics that analyzes optimal savings, consumption, and capital accumulation over time in a perfectly competitive economy.
  • B. Solow growth model
    The Solow growth model is a foundational economic framework that explains long-run economic growth through capital accumulation, labor or population growth, and exogenous technological progress.
  • C. Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?
    "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.
  • D. “The Heterogeneous-Agent New Keynesian Model”
    “The Heterogeneous-Agent New Keynesian Model” is an influential macroeconomic framework that incorporates household heterogeneity and incomplete markets into New Keynesian analysis to better explain consumption, inequality, and monetary policy transmission.
  • E. New Keynesian Phillips Curve
    The New Keynesian Phillips Curve is a macroeconomic relationship that links inflation dynamics to expected future inflation and real economic activity, derived from models with nominal rigidities and forward-looking behavior.
  • 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: Diamond–Mortensen–Pissarides model
Triple: [Dale T. Mortensen, knownFor, Diamond–Mortensen–Pissarides model]
Generated description
The Diamond–Mortensen–Pissarides model is a foundational macroeconomic framework that explains unemployment, job creation, and labor market frictions through search and matching between workers and firms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Diamond–Mortensen–Pissarides model
Target entity description: The Diamond–Mortensen–Pissarides model is a foundational macroeconomic framework that explains unemployment, job creation, and labor market frictions through search and matching between workers and firms.
  • A. Ramsey–Cass–Koopmans model
    The Ramsey–Cass–Koopmans model is a foundational neoclassical growth model in macroeconomics that analyzes optimal savings, consumption, and capital accumulation over time in a perfectly competitive economy.
  • B. Solow growth model
    The Solow growth model is a foundational economic framework that explains long-run economic growth through capital accumulation, labor or population growth, and exogenous technological progress.
  • C. Technology Shocks and Aggregate Fluctuations: How Well Does the RBC Model Fit Postwar U.S. Data?
    "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.
  • D. “The Heterogeneous-Agent New Keynesian Model”
    “The Heterogeneous-Agent New Keynesian Model” is an influential macroeconomic framework that incorporates household heterogeneity and incomplete markets into New Keynesian analysis to better explain consumption, inequality, and monetary policy transmission.
  • E. New Keynesian Phillips Curve
    The New Keynesian Phillips Curve is a macroeconomic relationship that links inflation dynamics to expected future inflation and real economic activity, derived from models with nominal rigidities and forward-looking behavior.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e30cf48190a61936ba0a49df24 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b297778c81909a2545c359739151 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b4caae5081909017095977093704 completed May 10, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_6a00b52f58e08190a28506f03fbeda15 completed May 10, 2026, 4:41 p.m.
Created at: April 10, 2026, 5:23 a.m.