Triple
T2373499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrence Sejnowski |
E46141
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sejnowski |
E46141
|
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: Sejnowski | Statement: [Terrence Sejnowski, familyName, Sejnowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sejnowski Context triple: [Terrence Sejnowski, familyName, Sejnowski]
-
A.
Terrence Sejnowski
chosen
Terrence Sejnowski is a pioneering computational neuroscientist and machine learning researcher known for foundational contributions to neural networks and learning algorithms.
-
B.
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.
-
C.
David E. Rumelhart
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.
-
D.
Barbara Picower
Barbara Picower is an American philanthropist best known for leading major charitable initiatives and foundations, particularly in the wake of her late husband Jeffry Picower’s involvement in the Madoff scandal.
-
E.
Perceptrons
Perceptrons is a seminal 1969 book by Marvin Minsky and Seymour Papert that critically analyzes the capabilities and limitations of early neural network models, profoundly influencing the development of artificial intelligence and machine learning.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc791c4688190a4b8f0e540e84eb4 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8a8c2b88190a18dbf35d745958f |
completed | March 9, 2026, 11:02 a.m. |
Created at: March 4, 2026, 7:56 p.m.