Triple
T22202179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | parallel distributed processing |
E548708
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | connectionism |
—
|
NE NERFINISHED |
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: connectionism | Statement: [parallel distributed processing, alsoKnownAs, connectionism]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: connectionism Context triple: [parallel distributed processing, alsoKnownAs, connectionism]
-
A.
connectionism
chosen
Connectionism is a cognitive science and artificial intelligence approach that models mental processes using networks of simple, interconnected units whose learning and behavior emerge from patterns of activation and weight adjustment.
-
B.
Hebbian learning
Hebbian learning is a neurobiological and computational learning principle often summarized as "cells that fire together wire together," where the connection between neurons is strengthened when they are activated simultaneously.
-
C.
Cognitive Science Network
Cognitive Science Network is a specialized research community within SSRN that focuses on the dissemination and discussion of scholarly work in cognitive science and related fields.
-
D.
Unified Theories of Cognition
Unified Theories of Cognition is a comprehensive cognitive science framework proposed by Allen Newell that seeks to explain diverse mental processes—such as problem solving, memory, and learning—within a single, unified theoretical architecture.
-
E.
cognitive science
Cognitive science is an interdisciplinary field that studies the mind and intelligence by integrating approaches from psychology, neuroscience, computer science, linguistics, philosophy, and related disciplines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b24c6fc81909e6ae62564846bd1 |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.