Triple
T15837137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Eccles |
E384012
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Physiology of Synapses
The Physiology of Synapses is a seminal scientific monograph by neurophysiologist John Eccles that systematically explores the mechanisms of synaptic transmission in the nervous system.
|
E1181732
|
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 Synapses | Statement: [John Eccles, notableWork, The Physiology of Synapses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Physiology of Synapses Context triple: [John Eccles, notableWork, The Physiology of Synapses]
-
A.
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.
-
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.
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.
-
D.
The Journal of Neuroscience
The Journal of Neuroscience is a leading peer-reviewed scientific journal covering research on the nervous system, including molecular, cellular, developmental, behavioral, and cognitive neuroscience.
-
E.
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.
- 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 Synapses Triple: [John Eccles, notableWork, The Physiology of Synapses]
Generated description
The Physiology of Synapses is a seminal scientific monograph by neurophysiologist John Eccles that systematically explores the mechanisms of synaptic transmission in the nervous system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Physiology of Synapses Target entity description: The Physiology of Synapses is a seminal scientific monograph by neurophysiologist John Eccles that systematically explores the mechanisms of synaptic transmission in the nervous system.
-
A.
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.
-
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.
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.
-
D.
The Journal of Neuroscience
The Journal of Neuroscience is a leading peer-reviewed scientific journal covering research on the nervous system, including molecular, cellular, developmental, behavioral, and cognitive neuroscience.
-
E.
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.
- 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_69ffa93ddce4819086174b2549f5e12b |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffa9e9b17c8190b98d930fd5cb0723 |
completed | May 9, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaa973274819080889e1b9883b8dc |
completed | May 9, 2026, 9:43 p.m. |
Created at: April 10, 2026, 4:49 a.m.