Triple

T4142004
Position Surface form Disambiguated ID Type / Status
Subject Hendrik Anthony Kramers E89291 entity
Predicate notableWork P4 FINISHED
Object Kramers turnover theory
Kramers turnover theory is a foundational concept in chemical physics that describes how reaction rates depend on friction or solvent viscosity, predicting a maximum (turnover) as friction varies.
E415084 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: Kramers turnover theory | Statement: [Hendrik Anthony Kramers, notableWork, Kramers turnover theory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kramers turnover theory
Context triple: [Hendrik Anthony Kramers, notableWork, Kramers turnover theory]
  • A. Onsager reciprocal relations
    Onsager reciprocal relations are fundamental symmetry relations in nonequilibrium thermodynamics that link pairs of coupled fluxes and forces, showing that certain transport coefficients are equal.
  • B. Langevin theory of paramagnetism
    The Langevin theory of paramagnetism is a classical statistical model that explains how the magnetization of paramagnetic materials depends on temperature and applied magnetic field by treating atomic magnetic moments as non-interacting dipoles subject to thermal agitation.
  • C. Landau–Peierls instability
    Landau–Peierls instability is a theoretical prediction in condensed matter physics that shows how long-wavelength thermal fluctuations destroy true long-range positional order in low-dimensional crystalline systems.
  • D. Sommerfeld–Brillouin precursor theory
    Sommerfeld–Brillouin precursor theory is a classical electromagnetic wave theory that explains how transient signal fronts (precursors) propagate through dispersive media before the main wave arrives.
  • E. Herzberg–Teller approximation
    The Herzberg–Teller approximation is a refinement in molecular spectroscopy that accounts for vibronic coupling by allowing electronic transition dipole moments to depend on nuclear coordinates, explaining intensity in otherwise forbidden transitions.
  • 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: Kramers turnover theory
Triple: [Hendrik Anthony Kramers, notableWork, Kramers turnover theory]
Generated description
Kramers turnover theory is a foundational concept in chemical physics that describes how reaction rates depend on friction or solvent viscosity, predicting a maximum (turnover) as friction varies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kramers turnover theory
Target entity description: Kramers turnover theory is a foundational concept in chemical physics that describes how reaction rates depend on friction or solvent viscosity, predicting a maximum (turnover) as friction varies.
  • A. Onsager reciprocal relations
    Onsager reciprocal relations are fundamental symmetry relations in nonequilibrium thermodynamics that link pairs of coupled fluxes and forces, showing that certain transport coefficients are equal.
  • B. Langevin theory of paramagnetism
    The Langevin theory of paramagnetism is a classical statistical model that explains how the magnetization of paramagnetic materials depends on temperature and applied magnetic field by treating atomic magnetic moments as non-interacting dipoles subject to thermal agitation.
  • C. Landau–Peierls instability
    Landau–Peierls instability is a theoretical prediction in condensed matter physics that shows how long-wavelength thermal fluctuations destroy true long-range positional order in low-dimensional crystalline systems.
  • D. Sommerfeld–Brillouin precursor theory
    Sommerfeld–Brillouin precursor theory is a classical electromagnetic wave theory that explains how transient signal fronts (precursors) propagate through dispersive media before the main wave arrives.
  • E. Herzberg–Teller approximation
    The Herzberg–Teller approximation is a refinement in molecular spectroscopy that accounts for vibronic coupling by allowing electronic transition dipole moments to depend on nuclear coordinates, explaining intensity in otherwise forbidden transitions.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af024b8fe4819098e8f393474363c8 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576cff6c881909134804ba6f9876d completed March 14, 2026, 2:55 p.m.
NEDg Description generation batch_69b577d391ac8190b6062b1f64e2e7e8 completed March 14, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5787ed214819092fc425152069df9 completed March 14, 2026, 3:02 p.m.
Created at: March 9, 2026, 3:43 p.m.