Triple

T15742257
Position Surface form Disambiguated ID Type / Status
Subject Truth and Probability E381628 entity
Predicate influenced P9 FINISHED
Object Bayesian epistemology E679748 NE FINISHED

How this triple was built (2 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: Bayesian epistemology | Statement: [Truth and Probability, influenced, Bayesian epistemology]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayesian epistemology
Context triple: [Truth and Probability, influenced, Bayesian epistemology]
  • A. Bayesian epistemology chosen
    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.
  • B. Epistemic Justification
    Epistemic Justification is a work in philosophy that examines how and when beliefs are rationally supported by evidence and reasoning.
  • C. Truth and Probability
    Truth and Probability is a foundational 1926 essay by philosopher F. P. Ramsey that develops a subjective theory of probability and lays groundwork for modern Bayesian decision theory.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: April 10, 2026, 4:46 a.m.