Triple

T736450
Position Surface form Disambiguated ID Type / Status
Subject Maxwell's demon thought experiment E14943 entity
Predicate relatedConcept P37 FINISHED
Object Landauer's principle
Landauer's principle is a foundational concept in thermodynamics and information theory stating that erasing one bit of information in a computational process necessarily dissipates a minimum amount of heat, linking information processing to physical entropy.
E87719 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: Landauer's principle | Statement: [Maxwell's demon thought experiment, relatedConcept, Landauer's principle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landauer's principle
Context triple: [Maxwell's demon thought experiment, relatedConcept, Landauer's principle]
  • A. Bekenstein bound
    The Bekenstein bound is a theoretical limit in physics on the maximum amount of information or entropy that can be contained within a finite region of space with a given amount of energy.
  • B. Maxwell's demon thought experiment
    Maxwell's demon thought experiment is a famous conceptual scenario in thermodynamics that imagines an intelligent being seemingly violating the second law by sorting fast and slow gas molecules without expending energy.
  • C. Shannon–Khinchin axioms
    The Shannon–Khinchin axioms are a set of fundamental conditions that uniquely characterize Shannon entropy as the standard measure of information and uncertainty in probability theory and information theory.
  • D. Sackur–Tetrode equation
    The Sackur–Tetrode equation is a fundamental formula in statistical mechanics that gives the absolute entropy of an ideal monatomic gas in terms of its volume, temperature, and particle number.
  • E. H-theorem
    The H-theorem is Boltzmann’s foundational result in statistical mechanics that explains the irreversible increase of entropy in a gas from time-reversible microscopic dynamics, providing a key link between mechanics and the second law of thermodynamics.
  • 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: Landauer's principle
Triple: [Maxwell's demon thought experiment, relatedConcept, Landauer's principle]
Generated description
Landauer's principle is a foundational concept in thermodynamics and information theory stating that erasing one bit of information in a computational process necessarily dissipates a minimum amount of heat, linking information processing to physical entropy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Landauer's principle
Target entity description: Landauer's principle is a foundational concept in thermodynamics and information theory stating that erasing one bit of information in a computational process necessarily dissipates a minimum amount of heat, linking information processing to physical entropy.
  • A. Bekenstein bound
    The Bekenstein bound is a theoretical limit in physics on the maximum amount of information or entropy that can be contained within a finite region of space with a given amount of energy.
  • B. Maxwell's demon thought experiment
    Maxwell's demon thought experiment is a famous conceptual scenario in thermodynamics that imagines an intelligent being seemingly violating the second law by sorting fast and slow gas molecules without expending energy.
  • C. Shannon–Khinchin axioms
    The Shannon–Khinchin axioms are a set of fundamental conditions that uniquely characterize Shannon entropy as the standard measure of information and uncertainty in probability theory and information theory.
  • D. Sackur–Tetrode equation
    The Sackur–Tetrode equation is a fundamental formula in statistical mechanics that gives the absolute entropy of an ideal monatomic gas in terms of its volume, temperature, and particle number.
  • E. H-theorem
    The H-theorem is Boltzmann’s foundational result in statistical mechanics that explains the irreversible increase of entropy in a gas from time-reversible microscopic dynamics, providing a key link between mechanics and the second law of thermodynamics.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5da30b88190afbd12ae6109cc1b completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a618c248190ab1bcecba04d3da8 completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64b4c8bb88190aa413a4bed256129 completed March 3, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69a64beaafa0819099b02cca0f6c79b7 completed March 3, 2026, 2:48 a.m.
Created at: March 1, 2026, 7:37 p.m.