Triple

T2577990
Position Surface form Disambiguated ID Type / Status
Subject Book II: Fundamental Theorems E57020 entity
Predicate contributesTo P477 FINISHED
Object foundations of Keynesian probability theory E7216 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: foundations of Keynesian probability theory | Statement: [Book II: Fundamental Theorems, contributesTo, foundations of Keynesian probability theory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: foundations of Keynesian probability theory
Context triple: [Book II: Fundamental Theorems, contributesTo, foundations of Keynesian probability 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. The Probability Approach in Econometrics
    The Probability Approach in Econometrics is Trygve Haavelmo’s landmark work that founded modern econometrics by rigorously formulating economic relationships within a probabilistic, statistical framework.
  • C. Foundations of Probability
    Foundations of Probability is a seminal textbook by mathematician Alfréd Rényi that presents a rigorous, axiomatic treatment of probability theory.
  • D. A Treatise on Probability chosen
    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. Mr. Keynes and the Classics
    "Mr. Keynes and the Classics" is a seminal 1937 article by economist John R. Hicks that introduced the IS-LM framework to synthesize and contrast Keynesian and classical macroeconomic 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3a86f9881908df29a7caaf9a7df completed March 7, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6576a0a8819080d9241801675b19 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.