Triple

T12482576
Position Surface form Disambiguated ID Type / Status
Subject James R. Rice E298347 entity
Predicate notableConcept P201 FINISHED
Object Rice–Tracey void growth model
The Rice–Tracey void growth model is a micromechanical fracture model that predicts ductile material failure by describing how microscopic voids grow under plastic deformation and triaxial stress.
E985661 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: Rice–Tracey void growth model | Statement: [James R. Rice, notableConcept, Rice–Tracey void growth model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rice–Tracey void growth model
Context triple: [James R. Rice, notableConcept, Rice–Tracey void growth model]
  • A. Kimura two-parameter model
    The Kimura two-parameter model is a foundational mathematical model in molecular evolution that describes DNA sequence change by distinguishing between transition and transversion substitution rates.
  • B. Drucker stability postulate in plasticity
    The Drucker stability postulate in plasticity is a fundamental criterion in continuum mechanics that asserts stable inelastic material behavior requires non-negative plastic work during any admissible loading path, ensuring physically realistic and stable responses in plasticity models.
  • C. Becker–Döring theory of nucleation
    The Becker–Döring theory of nucleation is a classical kinetic model in statistical physics that describes how clusters of particles grow or shrink through the successive addition or loss of single monomers, providing a fundamental framework for understanding phase transitions and nucleation rates.
  • D. Hutchinson–Rice–Rosengren singularity in fracture mechanics
    The Hutchinson–Rice–Rosengren singularity in fracture mechanics is a fundamental asymptotic solution describing the near-tip stress and strain fields of a crack in elastic–plastic materials under small-scale yielding conditions.
  • E. Mullins–Sekerka instability
    The Mullins–Sekerka instability is a morphological instability that occurs during diffusion-limited solidification or crystal growth, leading to pattern formation such as dendrites at moving phase boundaries.
  • 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: Rice–Tracey void growth model
Triple: [James R. Rice, notableConcept, Rice–Tracey void growth model]
Generated description
The Rice–Tracey void growth model is a micromechanical fracture model that predicts ductile material failure by describing how microscopic voids grow under plastic deformation and triaxial stress.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rice–Tracey void growth model
Target entity description: The Rice–Tracey void growth model is a micromechanical fracture model that predicts ductile material failure by describing how microscopic voids grow under plastic deformation and triaxial stress.
  • A. Kimura two-parameter model
    The Kimura two-parameter model is a foundational mathematical model in molecular evolution that describes DNA sequence change by distinguishing between transition and transversion substitution rates.
  • B. Drucker stability postulate in plasticity
    The Drucker stability postulate in plasticity is a fundamental criterion in continuum mechanics that asserts stable inelastic material behavior requires non-negative plastic work during any admissible loading path, ensuring physically realistic and stable responses in plasticity models.
  • C. Becker–Döring theory of nucleation
    The Becker–Döring theory of nucleation is a classical kinetic model in statistical physics that describes how clusters of particles grow or shrink through the successive addition or loss of single monomers, providing a fundamental framework for understanding phase transitions and nucleation rates.
  • D. Hutchinson–Rice–Rosengren singularity in fracture mechanics
    The Hutchinson–Rice–Rosengren singularity in fracture mechanics is a fundamental asymptotic solution describing the near-tip stress and strain fields of a crack in elastic–plastic materials under small-scale yielding conditions.
  • E. Mullins–Sekerka instability
    The Mullins–Sekerka instability is a morphological instability that occurs during diffusion-limited solidification or crystal growth, leading to pattern formation such as dendrites at moving phase boundaries.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcef6548190a6d29375bdabd17d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f29307c8190b024d889d45ba9f7 completed May 2, 2026, 6:15 p.m.
NEDg Description generation batch_69f6437e88c881909b7f1d55c11b0825 completed May 2, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69f644464c0c8190a8d4ea4914d32e7f completed May 2, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:56 p.m.