Triple

T16613986
Position Surface form Disambiguated ID Type / Status
Subject David M. Kreps E403645 entity
Predicate knownFor P22 FINISHED
Object Kreps–Milgrom–Roberts–Wilson reputation model
The Kreps–Milgrom–Roberts–Wilson reputation model is a foundational game-theoretic framework that explains how long-run players can sustain cooperation or deter entry by building reputations for certain types or behaviors in repeated interactions under incomplete information.
E1223592 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: Kreps–Milgrom–Roberts–Wilson reputation model | Statement: [David M. Kreps, knownFor, Kreps–Milgrom–Roberts–Wilson reputation model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreps–Milgrom–Roberts–Wilson reputation model
Context triple: [David M. Kreps, knownFor, Kreps–Milgrom–Roberts–Wilson reputation model]
  • A. Game Theory (with Drew Fudenberg)
    "Game Theory (with Drew Fudenberg)" is a widely used graduate-level textbook that provides a rigorous and comprehensive introduction to modern game theory and its applications in economics.
  • B. Rubinstein bargaining model
    The Rubinstein bargaining model is a foundational game-theoretic framework that analyzes how two parties reach agreement over time through alternating offers under the influence of impatience and strategic delay.
  • C. A Theory of Incentives in Procurement and Regulation (with Jean-Jacques Laffont)
    A Theory of Incentives in Procurement and Regulation is a foundational economics book that develops a rigorous principal–agent framework for designing optimal contracts and regulatory mechanisms in public procurement and regulated industries.
  • D. Rules, Discretion, and Reputation in a Model of Monetary Policy
    "Rules, Discretion, and Reputation in a Model of Monetary Policy" is an influential economic paper that analyzes how different monetary policy regimes and the credibility of policymakers affect inflation and output outcomes.
  • E. The Economics of Reciprocity
    The Economics of Reciprocity is a scholarly work that analyzes how reciprocal behavior and social norms influence economic interactions and outcomes beyond purely self-interested market models.
  • 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: Kreps–Milgrom–Roberts–Wilson reputation model
Triple: [David M. Kreps, knownFor, Kreps–Milgrom–Roberts–Wilson reputation model]
Generated description
The Kreps–Milgrom–Roberts–Wilson reputation model is a foundational game-theoretic framework that explains how long-run players can sustain cooperation or deter entry by building reputations for certain types or behaviors in repeated interactions under incomplete information.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kreps–Milgrom–Roberts–Wilson reputation model
Target entity description: The Kreps–Milgrom–Roberts–Wilson reputation model is a foundational game-theoretic framework that explains how long-run players can sustain cooperation or deter entry by building reputations for certain types or behaviors in repeated interactions under incomplete information.
  • A. Game Theory (with Drew Fudenberg)
    "Game Theory (with Drew Fudenberg)" is a widely used graduate-level textbook that provides a rigorous and comprehensive introduction to modern game theory and its applications in economics.
  • B. Rubinstein bargaining model
    The Rubinstein bargaining model is a foundational game-theoretic framework that analyzes how two parties reach agreement over time through alternating offers under the influence of impatience and strategic delay.
  • C. A Theory of Incentives in Procurement and Regulation (with Jean-Jacques Laffont)
    A Theory of Incentives in Procurement and Regulation is a foundational economics book that develops a rigorous principal–agent framework for designing optimal contracts and regulatory mechanisms in public procurement and regulated industries.
  • D. Rules, Discretion, and Reputation in a Model of Monetary Policy
    "Rules, Discretion, and Reputation in a Model of Monetary Policy" is an influential economic paper that analyzes how different monetary policy regimes and the credibility of policymakers affect inflation and output outcomes.
  • E. The Economics of Reciprocity
    The Economics of Reciprocity is a scholarly work that analyzes how reciprocal behavior and social norms influence economic interactions and outcomes beyond purely self-interested market models.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e360983d2c8190b1fe7f18aedfbde1 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075aeaa9881908bdef0f9f2b52e60 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a007705f57881908b07a20ae8957c64 completed May 10, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_6a007b18f0b08190a9ddc6ad7358d6b8 completed May 10, 2026, 12:33 p.m.
Created at: April 10, 2026, 5:17 a.m.