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.