Triple

T3081241
Position Surface form Disambiguated ID Type / Status
Subject Jean Tirole E64259 entity
Predicate notableWork P4 FINISHED
Object 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.
E324672 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: Game Theory (with Drew Fudenberg) | Statement: [Jean Tirole, notableWork, Game Theory (with Drew Fudenberg)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Game Theory (with Drew Fudenberg)
Context triple: [Jean Tirole, notableWork, Game Theory (with Drew Fudenberg)]
  • A. Dynamic Noncooperative Game Theory
    Dynamic Noncooperative Game Theory is a foundational book in game theory that rigorously analyzes strategic interactions among rational decision-makers evolving over time, with applications in economics, engineering, and control systems.
  • B. Theory of Games and Economic Behavior
    Theory of Games and Economic Behavior is a foundational 1944 book by John von Neumann and Oskar Morgenstern that established game theory as a rigorous mathematical framework for analyzing strategic decision-making in economics.
  • C. Nash bargaining solution
    The Nash bargaining solution is a foundational concept in game theory that defines a fair and efficient outcome for two-party bargaining problems based on axioms of rationality and symmetry.
  • D. 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.
  • E. Non-cooperative Games
    Non-cooperative Games is John Nash’s seminal 1950 paper that founded modern non-cooperative game theory and introduced the concept now known as Nash equilibrium.
  • 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: Game Theory (with Drew Fudenberg)
Triple: [Jean Tirole, notableWork, Game Theory (with Drew Fudenberg)]
Generated description
"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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Game Theory (with Drew Fudenberg)
Target entity description: "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.
  • A. Dynamic Noncooperative Game Theory
    Dynamic Noncooperative Game Theory is a foundational book in game theory that rigorously analyzes strategic interactions among rational decision-makers evolving over time, with applications in economics, engineering, and control systems.
  • B. Theory of Games and Economic Behavior
    Theory of Games and Economic Behavior is a foundational 1944 book by John von Neumann and Oskar Morgenstern that established game theory as a rigorous mathematical framework for analyzing strategic decision-making in economics.
  • C. Nash bargaining solution
    The Nash bargaining solution is a foundational concept in game theory that defines a fair and efficient outcome for two-party bargaining problems based on axioms of rationality and symmetry.
  • D. 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.
  • E. Non-cooperative Games
    Non-cooperative Games is John Nash’s seminal 1950 paper that founded modern non-cooperative game theory and introduced the concept now known as Nash equilibrium.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1aaf6d48190af4f9106965589b0 completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89443a4819091dafc560b45cc26 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f93d5b208190835093f453fd33ab completed March 11, 2026, 11:22 p.m.
NED2 Entity disambiguation (via description) batch_69b1f9ea9b908190a86e2b79a89e0283 completed March 11, 2026, 11:25 p.m.
Created at: March 8, 2026, 3:03 p.m.