Triple
T4342964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | all-or-none principle in nerve excitation |
E97828
|
entity |
| Predicate | isFundamentalTo |
P3979
|
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: [all-or-none principle in nerve excitation, isFundamentalTo, 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: [all-or-none principle in nerve excitation, isFundamentalTo, 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: isFundamentalTo Context triple: [all-or-none principle in nerve excitation, isFundamentalTo, Hodgkin–Huxley model of the action potential]
-
A.
isFundamental
chosen
Indicates that something is a basic, essential, or foundational element upon which other things depend or are built.
-
B.
isBackboneOf
Indicates that one entity forms the main supporting structure or central framework upon which another entity fundamentally depends.
-
C.
isCoreComponentOf
Indicates that something is an essential, foundational part required for the structure, function, or identity of another entity.
-
D.
isFeatureOf
Indicates that something functions as a characteristic, attribute, or component belonging to or describing another entity.
-
E.
isFedBy
Indicates that one entity receives nourishment, food, or sustenance from another entity.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35188e71c8190a3e82fa8d959de94 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dba2b49c81909b7bf87672d71611 |
completed | March 14, 2026, 10:05 p.m. |
| PD | Predicate disambiguation | batch_69b34f4fe1c481908d6d66e15697c04b |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.