Triple
T22177804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An interactive activation model of context effects in letter perception |
E548092
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object | David E. Rumelhart |
—
|
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: David E. Rumelhart | Statement: [An interactive activation model of context effects in letter perception, hasAuthor, David E. Rumelhart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David E. Rumelhart Context triple: [An interactive activation model of context effects in letter perception, hasAuthor, David E. Rumelhart]
-
A.
David E. Rumelhart
chosen
David E. Rumelhart was a pioneering cognitive psychologist and neural network researcher whose work on parallel distributed processing and backpropagation profoundly shaped modern cognitive science and machine learning.
-
B.
Stephen Grossberg
Stephen Grossberg is an American cognitive scientist and neuroscientist renowned for pioneering work in neural networks, adaptive resonance theory, and computational models of perception and learning.
-
C.
John Hopfield
John Hopfield is an American physicist and neuroscientist best known for introducing the Hopfield network, a pioneering model in neural networks and computational neuroscience.
-
D.
Ross Quillian
Ross Quillian was a pioneering cognitive scientist and computer scientist known for his early work on semantic memory models and semantic networks in artificial intelligence.
-
E.
Zenon Pylyshyn
Zenon Pylyshyn was a cognitive scientist and philosopher known for his influential work on mental imagery, visual cognition, and the computational theory of mind.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6d03488190b29872ff3f436237 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.