Triple

T23091367
Position Surface form Disambiguated ID Type / Status
Subject John W. Cahn E575757 entity
Predicate notableFor P22 FINISHED
Object Cahn–Hilliard equation NE NERFINISHED

How this triple was built (2 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: Cahn–Hilliard equation | Statement: [John W. Cahn, notableFor, Cahn–Hilliard equation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cahn–Hilliard equation
Context triple: [John W. Cahn, notableFor, Cahn–Hilliard equation]
  • A. Cahn–Hilliard equation chosen
    The Cahn–Hilliard equation is a nonlinear partial differential equation that models phase separation and coarsening in binary mixtures and other systems undergoing spinodal decomposition.
  • B. Allen–Cahn equation
    The Allen–Cahn equation is a reaction–diffusion partial differential equation used to model phase separation and interface motion in multi-phase systems.
  • C. 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.
  • D. Ostwald ripening
    Ostwald ripening is a process in materials science where larger particles grow at the expense of smaller ones due to differences in solubility or chemical potential, leading to coarsening of the system over time.
  • E. Kardar–Parisi–Zhang equation
    The Kardar–Parisi–Zhang equation is a fundamental stochastic partial differential equation that models the dynamic scaling and roughening of growing interfaces in nonequilibrium statistical physics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18daa68d48190842e9cb6de31ea79 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:57 p.m.