Triple

T3717883
Position Surface form Disambiguated ID Type / Status
Subject Alan Hodgkin E81573 entity
Predicate developedModel P73 FINISHED
Object Hodgkin–Huxley model of the action potential E381979 NE FINISHED

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: Hodgkin–Huxley model of the action potential | Statement: [Alan Hodgkin, developedModel, Hodgkin–Huxley model of the action potential]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hodgkin–Huxley model of the action potential
Context triple: [Alan Hodgkin, developedModel, Hodgkin–Huxley model of the action potential]
  • A. Hodgkin–Huxley model chosen
    The Hodgkin–Huxley model is a mathematical description of how action potentials in neurons are initiated and propagated through voltage-gated ion channels in the cell membrane.
  • B. all-or-none principle in nerve excitation
    The all-or-none principle in nerve excitation is the physiological rule that a nerve fiber, once stimulated beyond a certain threshold, responds with a full, uniform action potential rather than a graded response.
  • C. The Computational Brain
    The Computational Brain is an influential book that explores how principles of computation and neural networks can explain brain function and cognition.
  • D. Hopfield networks
    Hopfield networks are recurrent artificial neural networks that serve as content-addressable memory systems, storing patterns as stable states and retrieving them through dynamics that minimize an energy function.
  • E. Untersuchungen über tierische Elektricität
    Untersuchungen über tierische Elektricität is a foundational 19th-century scientific work that systematically established the electrical nature of nerve and muscle activity.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developedModel
Context triple: [Alan Hodgkin, developedModel, Hodgkin–Huxley model of the action potential]
  • A. model
    Indicates that one entity serves as a representation, example, or simulation of another entity or concept.
  • B. developed chosen
    Indicates that one entity created, designed, or brought another entity into a more advanced or complete state through effort or work.
  • C. developedThrough
    Indicates that something came into existence, was created, or was brought to its current form by means of a specified process, method, or developmental pathway.
  • D. developedAs
    Indicates that one entity was created, designed, or evolved specifically to function as or replace another entity.
  • E. producedModel
    Indicates that one entity created, manufactured, or generated the other entity as a model or product.
  • F. None of above.

Provenance (4 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adca984844819087a2f6b20d2f19e7 completed March 8, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db0ba70481908dfd11ee5c89faff completed March 14, 2026, 3:50 a.m.
PD Predicate disambiguation batch_69adc0436e508190909ec4a3e8443aef completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:33 p.m.