Triple

T15361027
Position Surface form Disambiguated ID Type / Status
Subject Vladimir Vapnik E367287 entity
Predicate authorOf P4244 FINISHED
Object Estimation of Dependences Based on Empirical Data E1153664 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: Estimation of Dependences Based on Empirical Data | Statement: [Vladimir Vapnik, authorOf, Estimation of Dependences Based on Empirical Data]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Estimation of Dependences Based on Empirical Data
Context triple: [Vladimir Vapnik, authorOf, Estimation of Dependences Based on Empirical Data]
  • A. Estimation of Dependences Based on Empirical Data chosen
    Estimation of Dependences Based on Empirical Data is a foundational book in statistical learning theory that introduced key concepts underlying modern machine learning, including the principles that led to support vector machines.
  • B. The Nature of Statistical Learning Theory
    The Nature of Statistical Learning Theory is a foundational book by Vladimir Vapnik that introduces the theoretical framework underlying modern statistical learning and support vector machines.
  • C. On Estimation of a Probability Density Function and Mode
    "On Estimation of a Probability Density Function and Mode" is a seminal statistical paper by Emanuel Parzen that develops kernel-based methods for nonparametric density and mode estimation.
  • D. “Statistical Confluence Analysis by Means of Complete Regression Systems”
    “Statistical Confluence Analysis by Means of Complete Regression Systems” is a foundational econometric work by Ragnar Frisch that develops a systematic regression-based framework for analyzing interdependent economic relationships.
  • E. Statistical Decision Functions
    Statistical Decision Functions is a foundational work in decision theory and statistics that systematically develops the theory of optimal decision-making under uncertainty.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4607408190ab281a7f7a8012d3 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1343862481908962dfe0ab946b97 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:18 a.m.