Triple
T10602481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | physical symbol system hypothesis |
E275784
|
entity |
| Predicate | statedIn |
P775
|
FINISHED |
| Object |
"Computer Science as Empirical Inquiry: Symbols and Search"
"Computer Science as Empirical Inquiry: Symbols and Search" is a seminal 1976 paper by Allen Newell and Herbert A. Simon that articulates a foundational view of artificial intelligence and cognitive science by analyzing computation in terms of symbol manipulation and heuristic search.
|
E874577
|
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: "Computer Science as Empirical Inquiry: Symbols and Search" | Statement: [physical symbol system hypothesis, statedIn, "Computer Science as Empirical Inquiry: Symbols and Search"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Computer Science as Empirical Inquiry: Symbols and Search" Context triple: [physical symbol system hypothesis, statedIn, "Computer Science as Empirical Inquiry: Symbols and Search"]
-
A.
"A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence"
"A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence" is the seminal 1955 research proposal by John McCarthy and colleagues that launched the field of artificial intelligence by defining its goals and organizing the landmark 1956 Dartmouth conference.
-
B.
the Logic Theorist program
The Logic Theorist program was an early artificial intelligence system developed in the 1950s that automatically proved theorems in symbolic logic and is often regarded as the first AI program.
-
C.
Man-Computer Symbiosis
Man-Computer Symbiosis is a seminal 1960 essay by J. C. R. Licklider that envisioned interactive, cooperative partnerships between humans and computers, laying conceptual foundations for modern interactive computing and the internet.
-
D.
An Axiomatic Basis for Computer Programming
"An Axiomatic Basis for Computer Programming" is a seminal 1969 paper by C.A.R. Hoare that introduced the formal logical system now known as Hoare logic for reasoning about program correctness.
-
E.
Computing Machinery and Intelligence
"Computing Machinery and Intelligence" is Alan Turing’s landmark 1950 paper that introduced the Turing Test and fundamentally shaped the philosophical and technical foundations of artificial intelligence.
- 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: "Computer Science as Empirical Inquiry: Symbols and Search" Triple: [physical symbol system hypothesis, statedIn, "Computer Science as Empirical Inquiry: Symbols and Search"]
Generated description
"Computer Science as Empirical Inquiry: Symbols and Search" is a seminal 1976 paper by Allen Newell and Herbert A. Simon that articulates a foundational view of artificial intelligence and cognitive science by analyzing computation in terms of symbol manipulation and heuristic search.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "Computer Science as Empirical Inquiry: Symbols and Search" Target entity description: "Computer Science as Empirical Inquiry: Symbols and Search" is a seminal 1976 paper by Allen Newell and Herbert A. Simon that articulates a foundational view of artificial intelligence and cognitive science by analyzing computation in terms of symbol manipulation and heuristic search.
-
A.
"A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence"
"A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence" is the seminal 1955 research proposal by John McCarthy and colleagues that launched the field of artificial intelligence by defining its goals and organizing the landmark 1956 Dartmouth conference.
-
B.
the Logic Theorist program
The Logic Theorist program was an early artificial intelligence system developed in the 1950s that automatically proved theorems in symbolic logic and is often regarded as the first AI program.
-
C.
Man-Computer Symbiosis
Man-Computer Symbiosis is a seminal 1960 essay by J. C. R. Licklider that envisioned interactive, cooperative partnerships between humans and computers, laying conceptual foundations for modern interactive computing and the internet.
-
D.
An Axiomatic Basis for Computer Programming
"An Axiomatic Basis for Computer Programming" is a seminal 1969 paper by C.A.R. Hoare that introduced the formal logical system now known as Hoare logic for reasoning about program correctness.
-
E.
Computing Machinery and Intelligence
"Computing Machinery and Intelligence" is Alan Turing’s landmark 1950 paper that introduced the Turing Test and fundamentally shaped the philosophical and technical foundations of artificial intelligence.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded61d5c8190b13890c964b59949 |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95eaffcd0819098e0a06a731b602f |
completed | April 10, 2026, 8:33 p.m. |
| NEDg | Description generation | batch_69d961aaf71881908289244e0a490492 |
completed | April 10, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d9623cf54081908abcdc88e13d5176 |
completed | April 10, 2026, 8:49 p.m. |
Created at: April 8, 2026, 7:31 p.m.