Triple

T15837136
Position Surface form Disambiguated ID Type / Status
Subject John Eccles E384012 entity
Predicate notableWork P4 FINISHED
Object The Physiology of Nerve Cells
The Physiology of Nerve Cells is a seminal scientific work by neurophysiologist John Eccles that explores the cellular and biophysical mechanisms underlying nerve cell function and synaptic transmission.
E1180400 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: The Physiology of Nerve Cells | Statement: [John Eccles, notableWork, The Physiology of Nerve Cells]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Physiology of Nerve Cells
Context triple: [John Eccles, notableWork, The Physiology of Nerve Cells]
  • A. 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.
  • B. Biophysics of Computation: Information Processing in Single Neurons
    Biophysics of Computation: Information Processing in Single Neurons is a seminal book that rigorously explains how individual neurons perform complex information processing using biophysical and computational principles.
  • C. Textura del sistema nervioso del hombre y de los vertebrados
    "Textura del sistema nervioso del hombre y de los vertebrados" is a landmark neuroanatomical work by Santiago Ramón y Cajal that meticulously describes the microscopic structure and organization of the nervous system in humans and other vertebrates.
  • D. “Sensations and Brain Processes”
    “Sensations and Brain Processes” is a landmark 1959 philosophical paper in which J. J. C. Smart defends the mind–brain identity theory by arguing that sensations are nothing over and above brain processes.
  • E. Hodgkin–Huxley model
    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.
  • 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: The Physiology of Nerve Cells
Triple: [John Eccles, notableWork, The Physiology of Nerve Cells]
Generated description
The Physiology of Nerve Cells is a seminal scientific work by neurophysiologist John Eccles that explores the cellular and biophysical mechanisms underlying nerve cell function and synaptic transmission.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Physiology of Nerve Cells
Target entity description: The Physiology of Nerve Cells is a seminal scientific work by neurophysiologist John Eccles that explores the cellular and biophysical mechanisms underlying nerve cell function and synaptic transmission.
  • A. 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.
  • B. Biophysics of Computation: Information Processing in Single Neurons
    Biophysics of Computation: Information Processing in Single Neurons is a seminal book that rigorously explains how individual neurons perform complex information processing using biophysical and computational principles.
  • C. Textura del sistema nervioso del hombre y de los vertebrados
    "Textura del sistema nervioso del hombre y de los vertebrados" is a landmark neuroanatomical work by Santiago Ramón y Cajal that meticulously describes the microscopic structure and organization of the nervous system in humans and other vertebrates.
  • D. “Sensations and Brain Processes”
    “Sensations and Brain Processes” is a landmark 1959 philosophical paper in which J. J. C. Smart defends the mind–brain identity theory by arguing that sensations are nothing over and above brain processes.
  • E. Hodgkin–Huxley model
    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.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e1fcd48190bcb884f6c65db847 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13a83448190adcad8bb84622e55 completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa417ee248190808b0fecfb58d705 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa5372f248190827cdc4985fee1ef completed May 9, 2026, 9:20 p.m.
Created at: April 10, 2026, 4:49 a.m.