Triple
T10602399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logic Theorist |
E275782
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | General Problem Solver |
E267834
|
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: General Problem Solver | Statement: [Logic Theorist, influenced, General Problem Solver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: General Problem Solver Context triple: [Logic Theorist, influenced, General Problem Solver]
-
A.
General Problem Solver
chosen
The General Problem Solver is an early artificial intelligence program designed to model and automate human-like problem-solving across a wide range of domains using general search and reasoning strategies.
-
B.
The complete problem solver
The Complete Problem Solver is a well-known book by cognitive psychologist John R. Hayes that presents practical strategies and frameworks for understanding and improving human problem-solving.
-
C.
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.
-
D.
Human Problem Solving
"Human Problem Solving" is a seminal 1972 book by Allen Newell and Herbert A. Simon that presents a foundational cognitive science and artificial intelligence theory of how humans represent and solve complex problems.
-
E.
“Natural Language Input for a Computer Problem-Solving System”
“Natural Language Input for a Computer Problem-Solving System” is a seminal research paper in artificial intelligence and computational linguistics that explores how computers can understand and process human language to solve problems.
- 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_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. |
Created at: April 8, 2026, 7:31 p.m.