Triple

T19756020
Position Surface form Disambiguated ID Type / Status
Subject Clark L. Hull E474501 entity
Predicate notableWork P4 FINISHED
Object Mathematico-Deductive Theory of Rote Learning
Mathematico-Deductive Theory of Rote Learning is a foundational work in behaviorist psychology in which Clark L. Hull presents a formal, mathematical model of how rote learning and habit formation occur.
E1394812 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: Mathematico-Deductive Theory of Rote Learning | Statement: [Clark L. Hull, notableWork, Mathematico-Deductive Theory of Rote Learning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mathematico-Deductive Theory of Rote Learning
Context triple: [Clark L. Hull, notableWork, Mathematico-Deductive Theory of Rote Learning]
  • A. The Psychology of Learning
    The Psychology of Learning is a foundational work in educational and experimental psychology that systematically explores how organisms acquire and modify behavior through experience, helping to establish modern learning theory.
  • B. An Essay on the Usefulness of Mathematical Learning
    An Essay on the Usefulness of Mathematical Learning is an early 18th-century treatise by John Arbuthnot that argues for the intellectual and practical value of studying mathematics.
  • C. The Advancement of Learning
    The Advancement of Learning is a 1605 philosophical treatise by Francis Bacon that argues for the systematic reform and expansion of human knowledge through empirical inquiry and the scientific method.
  • D. Outside in the Teaching Machine
    Outside in the Teaching Machine is a collection of essays by postcolonial theorist Gayatri Chakravorty Spivak that critiques global capitalism, education, and representation from the perspective of marginalized voices.
  • E. Gibsonian theory of perceptual learning
    The Gibsonian theory of perceptual learning is a psychological framework proposing that perception improves through direct interaction with the environment, as individuals learn to detect increasingly subtle and useful information (or "invariants") in sensory input without relying on internal representations.
  • 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: Mathematico-Deductive Theory of Rote Learning
Triple: [Clark L. Hull, notableWork, Mathematico-Deductive Theory of Rote Learning]
Generated description
Mathematico-Deductive Theory of Rote Learning is a foundational work in behaviorist psychology in which Clark L. Hull presents a formal, mathematical model of how rote learning and habit formation occur.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mathematico-Deductive Theory of Rote Learning
Target entity description: Mathematico-Deductive Theory of Rote Learning is a foundational work in behaviorist psychology in which Clark L. Hull presents a formal, mathematical model of how rote learning and habit formation occur.
  • A. The Psychology of Learning
    The Psychology of Learning is a foundational work in educational and experimental psychology that systematically explores how organisms acquire and modify behavior through experience, helping to establish modern learning theory.
  • B. An Essay on the Usefulness of Mathematical Learning
    An Essay on the Usefulness of Mathematical Learning is an early 18th-century treatise by John Arbuthnot that argues for the intellectual and practical value of studying mathematics.
  • C. The Advancement of Learning
    The Advancement of Learning is a 1605 philosophical treatise by Francis Bacon that argues for the systematic reform and expansion of human knowledge through empirical inquiry and the scientific method.
  • D. Outside in the Teaching Machine
    Outside in the Teaching Machine is a collection of essays by postcolonial theorist Gayatri Chakravorty Spivak that critiques global capitalism, education, and representation from the perspective of marginalized voices.
  • E. Gibsonian theory of perceptual learning
    The Gibsonian theory of perceptual learning is a psychological framework proposing that perception improves through direct interaction with the environment, as individuals learn to detect increasingly subtle and useful information (or "invariants") in sensory input without relying on internal representations.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531afcbc8190bd5364700008f6d8 completed April 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd67064081908839a408b0e746e1 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07bde28e848190aaa9c4a06b31bdb6 completed May 16, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:48 p.m.