Triple
T4353365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semantic Information Processing |
E98084
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
“A Computer Program for Understanding Natural Language”
“A Computer Program for Understanding Natural Language” is a landmark 1968 paper by Terry Winograd that presents an early natural language understanding system capable of interpreting and executing commands in a simulated blocks world.
|
E434313
|
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: “A Computer Program for Understanding Natural Language” | Statement: [Semantic Information Processing, hasPart, “A Computer Program for Understanding Natural Language”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “A Computer Program for Understanding Natural Language” Context triple: [Semantic Information Processing, hasPart, “A Computer Program for Understanding Natural Language”]
-
A.
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.
-
B.
"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.
-
C.
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.
-
D.
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.
-
E.
Augmented Transition Network
Augmented Transition Network is a type of finite-state machine extended with stack-based memory and procedural actions, widely used in natural language processing for parsing complex sentence structures.
- 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: “A Computer Program for Understanding Natural Language” Triple: [Semantic Information Processing, hasPart, “A Computer Program for Understanding Natural Language”]
Generated description
“A Computer Program for Understanding Natural Language” is a landmark 1968 paper by Terry Winograd that presents an early natural language understanding system capable of interpreting and executing commands in a simulated blocks world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “A Computer Program for Understanding Natural Language” Target entity description: “A Computer Program for Understanding Natural Language” is a landmark 1968 paper by Terry Winograd that presents an early natural language understanding system capable of interpreting and executing commands in a simulated blocks world.
-
A.
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.
-
B.
"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.
-
C.
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.
-
D.
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.
-
E.
Augmented Transition Network
Augmented Transition Network is a type of finite-state machine extended with stack-based memory and procedural actions, widely used in natural language processing for parsing complex sentence structures.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c281688190aef717c4ecce8107 |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbb32eb081908dbaa8cc14882fe0 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5df8336e881908c875b8411c2fe4d |
completed | March 14, 2026, 10:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5e0ded0288190b615364e9ae10821 |
completed | March 14, 2026, 10:27 p.m. |
Created at: March 12, 2026, 11:15 p.m.