Triple

T7657952
Position Surface form Disambiguated ID Type / Status
Subject Observational selection effects and probability E173432 entity
Predicate mainSubject P3 FINISHED
Object Bayesian confirmation theory E305938 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 confirmation theory | Statement: [Observational selection effects and probability, mainSubject, Bayesian confirmation theory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayesian confirmation theory
Context triple: [Observational selection effects and probability, mainSubject, Bayesian confirmation theory]
  • A. 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.
  • B. 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.
  • 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. A Treatise on Probability
    A Treatise on Probability is John Maynard Keynes’s influential 1921 work that develops a logical and philosophical theory of probability, challenging classical and frequency-based interpretations.
  • E. Carnap's continuum of inductive methods chosen
    Carnap's continuum of inductive methods is a family of formal Bayesian-style confirmation functions that systematically vary how evidence updates degrees of belief in logical probability theory.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7019161548190855a5b1e9f5d7e99 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b0d345081909a1d4475fa3876f5 completed March 29, 2026, 3:22 a.m.
Created at: March 27, 2026, 3:59 p.m.