Triple

T2373535

Position	Surface form	Disambiguated ID	Type / Status
Subject	Terrence Sejnowski	`E46141`	entity
Predicate	notableWork	`P4`	FINISHED
Object	Biological and Artificial Computation Biological and Artificial Computation is a scholarly work by Terrence Sejnowski that explores how principles of biological neural systems can inform and inspire computational and artificial intelligence models.	`E260038`	NE FINISHED

How this triple was built (4 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: Biological and Artificial Computation | Statement: [Terrence Sejnowski, notableWork, Biological and Artificial Computation]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Biological and Artificial Computation
Context triple: [Terrence Sejnowski, notableWork, Biological and Artificial Computation]

A. “Molecular computation of solutions to combinatorial problems”
“Molecular computation of solutions to combinatorial problems” is Leonard Adleman’s pioneering 1994 paper that introduced DNA computing by demonstrating how molecular biology techniques can solve a combinatorial search problem.
B. Neural Computation
Neural Computation is a peer-reviewed scientific journal focusing on theoretical and computational aspects of neural systems, machine learning, and artificial intelligence.
C. SyNAPSE neuromorphic computing program
The SyNAPSE neuromorphic computing program is a DARPA initiative to develop brain-inspired electronic systems that emulate neural architectures for highly efficient, scalable cognitive computing.
D. The Science of Computing
"The Science of Computing" is a foundational work by Peter J. Denning that explores the principles, theory, and practice underlying computer science as a scientific discipline.
E. Information and Computation
Information and Computation is a peer-reviewed scientific journal focusing on theoretical computer science, including areas such as algorithms, computational complexity, and formal methods.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Biological and Artificial Computation
Triple: [Terrence Sejnowski, notableWork, Biological and Artificial Computation]

Generated description

Biological and Artificial Computation is a scholarly work by Terrence Sejnowski that explores how principles of biological neural systems can inform and inspire computational and artificial intelligence models.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Biological and Artificial Computation
Target entity description: Biological and Artificial Computation is a scholarly work by Terrence Sejnowski that explores how principles of biological neural systems can inform and inspire computational and artificial intelligence models.

A. “Molecular computation of solutions to combinatorial problems”
“Molecular computation of solutions to combinatorial problems” is Leonard Adleman’s pioneering 1994 paper that introduced DNA computing by demonstrating how molecular biology techniques can solve a combinatorial search problem.
B. Neural Computation
Neural Computation is a peer-reviewed scientific journal focusing on theoretical and computational aspects of neural systems, machine learning, and artificial intelligence.
C. SyNAPSE neuromorphic computing program
The SyNAPSE neuromorphic computing program is a DARPA initiative to develop brain-inspired electronic systems that emulate neural architectures for highly efficient, scalable cognitive computing.
D. The Science of Computing
"The Science of Computing" is a foundational work by Peter J. Denning that explores the principles, theory, and practice underlying computer science as a scientific discipline.
E. Information and Computation
Information and Computation is a peer-reviewed scientific journal focusing on theoretical computer science, including areas such as algorithms, computational complexity, and formal methods.
F. None of above. chosen

Provenance (5 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.
NEDg	Description generation	`batch_69aea92cc66c81909a46b83200960fe2`	completed	March 9, 2026, 11:04 a.m.
NED2	Entity disambiguation (via description)	`batch_69aea9b8dff08190a09f0c965dfd6738`	completed	March 9, 2026, 11:06 a.m.

Created at: March 4, 2026, 7:56 p.m.