Triple
T11108805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christof Koch |
E262700
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
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.
|
E906305
|
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: Biophysics of Computation: Information Processing in Single Neurons | Statement: [Christof Koch, notableWork, Biophysics of Computation: Information Processing in Single Neurons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biophysics of Computation: Information Processing in Single Neurons Context triple: [Christof Koch, notableWork, Biophysics of Computation: Information Processing in Single Neurons]
-
A.
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.
-
B.
Neural Computation
Neural Computation is a peer-reviewed scientific journal focusing on theoretical and computational aspects of neural systems, machine learning, and artificial intelligence.
-
C.
Biological and Artificial Computation
Biological and Artificial Computation is a scholarly work by Terrence Sejnowski that explores how principles of biological neural systems can inform and inspire computational and artificial intelligence models.
-
D.
analog VLSI for neural systems
Analog VLSI for neural systems is a pioneering approach to designing low-power, hardware-based neural network and neuromorphic circuits that mimic biological computation using analog very-large-scale integration technology.
-
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: Biophysics of Computation: Information Processing in Single Neurons Triple: [Christof Koch, notableWork, Biophysics of Computation: Information Processing in Single Neurons]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biophysics of Computation: Information Processing in Single Neurons Target entity description: 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.
-
A.
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.
-
B.
Neural Computation
Neural Computation is a peer-reviewed scientific journal focusing on theoretical and computational aspects of neural systems, machine learning, and artificial intelligence.
-
C.
Biological and Artificial Computation
Biological and Artificial Computation is a scholarly work by Terrence Sejnowski that explores how principles of biological neural systems can inform and inspire computational and artificial intelligence models.
-
D.
analog VLSI for neural systems
Analog VLSI for neural systems is a pioneering approach to designing low-power, hardware-based neural network and neuromorphic circuits that mimic biological computation using analog very-large-scale integration technology.
-
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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a67d10c8190815d4c27d55270e8 |
completed | April 9, 2026, 12:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d72f8f48190a7414119a6be9d5e |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e4374700b881908ebb185ae020487b |
completed | April 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4399385c08190852c3cbd730a1f11 |
completed | April 19, 2026, 2:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.