Triple

T21066364
Position Surface form Disambiguated ID Type / Status
Subject Debye model E518983 entity
Predicate relatedTo P37 FINISHED
Object Debye function NE NERFINISHED

How this triple was built (3 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: Debye function | Statement: [Debye model, relatedTo, Debye function]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debye function
Context triple: [Debye model, relatedTo, Debye function]
  • A. Debye temperature
    The Debye temperature is a characteristic temperature of a crystalline solid that reflects the highest vibrational mode of its lattice and strongly influences its heat capacity and thermal properties.
  • B. Brillouin function
    The Brillouin function is a mathematical function in statistical mechanics that describes the magnetization of a paramagnetic material as a function of temperature and applied magnetic field.
  • C. Debye model
    The Debye model is a theoretical approach in solid-state physics that explains the heat capacity of crystalline solids by treating their lattice vibrations (phonons) as a spectrum of quantized modes up to a maximum cutoff frequency.
  • D. Langevin function
    The Langevin function is a mathematical function that describes how the magnetization of a paramagnetic material depends on an applied magnetic field and temperature in classical statistical mechanics.
  • E. Debye length
    The Debye length is a characteristic scale in plasmas and electrolytes over which electric potentials are screened due to the collective response of mobile charges.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Debye function
Target entity description: The Debye function is a mathematical function used in solid-state physics to describe the temperature dependence of heat capacity and other thermodynamic properties in the Debye model of crystalline solids.
  • A. Debye temperature
    The Debye temperature is a characteristic temperature of a crystalline solid that reflects the highest vibrational mode of its lattice and strongly influences its heat capacity and thermal properties.
  • B. Brillouin function
    The Brillouin function is a mathematical function in statistical mechanics that describes the magnetization of a paramagnetic material as a function of temperature and applied magnetic field.
  • C. Debye model
    The Debye model is a theoretical approach in solid-state physics that explains the heat capacity of crystalline solids by treating their lattice vibrations (phonons) as a spectrum of quantized modes up to a maximum cutoff frequency.
  • D. Langevin function
    The Langevin function is a mathematical function that describes how the magnetization of a paramagnetic material depends on an applied magnetic field and temperature in classical statistical mechanics.
  • E. Debye length
    The Debye length is a characteristic scale in plasmas and electrolytes over which electric potentials are screened due to the collective response of mobile charges.
  • F. None of above. chosen

Provenance (2 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_69e0b505ef108190b25dd4033e2ff7eb completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6feb455fc81909cc63fa0e87b6a35 completed April 21, 2026, 4:36 a.m.
Created at: April 16, 2026, 2:44 p.m.