Triple
T15875482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Lloyd Hodgkin |
E384942
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Hodgkin–Huxley model |
E381979
|
NE FINISHED |
How this triple was built (2 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 | Statement: [Alan Lloyd Hodgkin, knownFor, Hodgkin–Huxley model]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hodgkin–Huxley model Context triple: [Alan Lloyd Hodgkin, knownFor, Hodgkin–Huxley model]
-
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.
Goldman–Hodgkin–Katz equation
The Goldman–Hodgkin–Katz equation is a biophysical formula that calculates a cell’s membrane potential by accounting for the relative permeabilities and concentrations of multiple ion species across the membrane.
-
C.
FitzHugh–Nagumo model
The FitzHugh–Nagumo model is a simplified mathematical model of neuronal excitability that captures the essential spike-generation dynamics of nerve cells using a two-variable system.
-
D.
Neuron
Neuron is a leading peer-reviewed scientific journal that publishes influential research in neuroscience, covering topics from molecular and cellular mechanisms to systems and cognitive neuroscience.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fcffbc8190ba6d133107b83a7f |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa94e9b548190bec74e6d9790d241 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.