Triple

T15742214
Position Surface form Disambiguated ID Type / Status
Subject Ramsey test for conditionals E381627 entity
Predicate influenced P9 FINISHED
Object AGM belief revision theory
AGM belief revision theory is a foundational formal framework in epistemology and belief dynamics that specifies rational principles for how an agent should revise their beliefs when presented with new information.
E1174210 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: AGM belief revision theory | Statement: [Ramsey test for conditionals, influenced, AGM belief revision theory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AGM belief revision theory
Context triple: [Ramsey test for conditionals, influenced, AGM belief revision theory]
  • A. Studies in the Logic of Confirmation
    "Studies in the Logic of Confirmation" is a seminal philosophical paper by Carl Gustav Hempel that analyzes how empirical evidence supports scientific hypotheses and introduces influential paradoxes about confirmation.
  • B. Logical Foundations of Probability
    Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
  • C. Of Knowledge and Probability
    "Of Knowledge and Probability" is a section in John Locke’s *An Essay Concerning Human Understanding* that analyzes the nature, degrees, and limits of human knowledge in contrast with mere probability or belief.
  • D. Bayesian epistemology
    Bayesian epistemology is a theory of knowledge that models rational belief and updating in terms of subjective probabilities governed by the rules of Bayesian probability theory.
  • E. “A Logic for Semantic Information”
    “A Logic for Semantic Information” is a scholarly work that develops a formal logical framework for representing and reasoning about semantic information.
  • 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: AGM belief revision theory
Triple: [Ramsey test for conditionals, influenced, AGM belief revision theory]
Generated description
AGM belief revision theory is a foundational formal framework in epistemology and belief dynamics that specifies rational principles for how an agent should revise their beliefs when presented with new information.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AGM belief revision theory
Target entity description: AGM belief revision theory is a foundational formal framework in epistemology and belief dynamics that specifies rational principles for how an agent should revise their beliefs when presented with new information.
  • A. Studies in the Logic of Confirmation
    "Studies in the Logic of Confirmation" is a seminal philosophical paper by Carl Gustav Hempel that analyzes how empirical evidence supports scientific hypotheses and introduces influential paradoxes about confirmation.
  • B. Logical Foundations of Probability
    Logical Foundations of Probability is a seminal philosophical work by Rudolf Carnap that develops a rigorous logical and formal account of probability and inductive reasoning.
  • C. Of Knowledge and Probability
    "Of Knowledge and Probability" is a section in John Locke’s *An Essay Concerning Human Understanding* that analyzes the nature, degrees, and limits of human knowledge in contrast with mere probability or belief.
  • D. Bayesian epistemology
    Bayesian epistemology is a theory of knowledge that models rational belief and updating in terms of subjective probabilities governed by the rules of Bayesian probability theory.
  • E. “A Logic for Semantic Information”
    “A Logic for Semantic Information” is a scholarly work that develops a formal logical framework for representing and reasoning about semantic information.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd97d6c8190b2fa6ca422bfe512 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff83056aa0819098b757ed125e61fe completed May 9, 2026, 6:55 p.m.
NEDg Description generation batch_69ff83ca33d08190816130bf2ea735df completed May 9, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69ff846436e48190b711da134c9a3b81 completed May 9, 2026, 7 p.m.
Created at: April 10, 2026, 4:46 a.m.