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.