Triple

T17035253
Position Surface form Disambiguated ID Type / Status
Subject Albert William Tucker E413305 entity
Predicate notableWork P4 FINISHED
Object Prisoner’s Dilemma (formalization and popularization)
Prisoner’s Dilemma (formalization and popularization) is Albert W. Tucker’s influential game-theoretic formulation that crystallized the classic scenario of two rational agents whose individually optimal choices lead to a collectively worse outcome.
E1245789 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: Prisoner’s Dilemma (formalization and popularization) | Statement: [Albert William Tucker, notableWork, Prisoner’s Dilemma (formalization and popularization)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prisoner’s Dilemma (formalization and popularization)
Context triple: [Albert William Tucker, notableWork, Prisoner’s Dilemma (formalization and popularization)]
  • A. An Introduction to Game Theory
    An Introduction to Game Theory is a widely used textbook that provides a rigorous yet accessible introduction to the fundamental concepts and models of game theory in economics and related fields.
  • B. 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.
  • C. Nash equilibrium
    A Nash equilibrium is a game-theoretic solution concept where no player can improve their payoff by unilaterally changing their strategy, given the strategies of all other players.
  • D. The Complexity of Cooperation
    The Complexity of Cooperation is a scholarly work by Avi Wigderson that explores how ideas from computational complexity theory illuminate strategic behavior, game theory, and cooperative problem-solving.
  • E. The Calculus of Selfishness
    The Calculus of Selfishness is a book by Karl Sigmund that uses mathematical and game-theoretic models to analyze how individual self-interest shapes cooperation, conflict, and social 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: Prisoner’s Dilemma (formalization and popularization)
Triple: [Albert William Tucker, notableWork, Prisoner’s Dilemma (formalization and popularization)]
Generated description
Prisoner’s Dilemma (formalization and popularization) is Albert W. Tucker’s influential game-theoretic formulation that crystallized the classic scenario of two rational agents whose individually optimal choices lead to a collectively worse outcome.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prisoner’s Dilemma (formalization and popularization)
Target entity description: Prisoner’s Dilemma (formalization and popularization) is Albert W. Tucker’s influential game-theoretic formulation that crystallized the classic scenario of two rational agents whose individually optimal choices lead to a collectively worse outcome.
  • A. An Introduction to Game Theory
    An Introduction to Game Theory is a widely used textbook that provides a rigorous yet accessible introduction to the fundamental concepts and models of game theory in economics and related fields.
  • B. 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.
  • C. Nash equilibrium
    A Nash equilibrium is a game-theoretic solution concept where no player can improve their payoff by unilaterally changing their strategy, given the strategies of all other players.
  • D. The Complexity of Cooperation
    The Complexity of Cooperation is a scholarly work by Avi Wigderson that explores how ideas from computational complexity theory illuminate strategic behavior, game theory, and cooperative problem-solving.
  • E. The Calculus of Selfishness
    The Calculus of Selfishness is a book by Karl Sigmund that uses mathematical and game-theoretic models to analyze how individual self-interest shapes cooperation, conflict, and social 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f05824819091d2aa02e5591e26 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b59ad3c8190914ee6f8c903cbbf completed May 10, 2026, 11:57 p.m.
NEDg Description generation batch_6a011c13076c8190970abfb0e2d3a13c completed May 11, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a011c8afb608190b51c7a4c9ccaa0a5 completed May 11, 2026, 12:02 a.m.
Created at: April 10, 2026, 5:33 a.m.