Triple
T4416760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence |
E94992
|
entity |
| Predicate | associatedConference |
P2576
|
FINISHED |
| Object |
Dartmouth Summer Research Project on Artificial Intelligence
The Dartmouth Summer Research Project on Artificial Intelligence was the seminal 1956 workshop that effectively launched the field of artificial intelligence as a formal area of academic research.
|
E94992
|
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: Dartmouth Summer Research Project on Artificial Intelligence | Statement: [A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, associatedConference, Dartmouth Summer Research Project on Artificial Intelligence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dartmouth Summer Research Project on Artificial Intelligence Context triple: [A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, associatedConference, Dartmouth Summer Research Project on Artificial Intelligence]
-
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.
Berkeley Artificial Intelligence Research Lab
The Berkeley Artificial Intelligence Research Lab is a leading UC Berkeley research group focused on advancing the theory and practice of artificial intelligence and machine learning.
-
D.
Stanford Artificial Intelligence Laboratory
The Stanford Artificial Intelligence Laboratory is a leading research center at Stanford University dedicated to advancing the theory and practice of artificial intelligence across robotics, machine learning, and related fields.
-
E.
“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.
- 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: Dartmouth Summer Research Project on Artificial Intelligence Triple: [A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, associatedConference, Dartmouth Summer Research Project on Artificial Intelligence]
Generated description
The Dartmouth Summer Research Project on Artificial Intelligence was the seminal 1956 workshop that effectively launched the field of artificial intelligence as a formal area of academic research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dartmouth Summer Research Project on Artificial Intelligence Target entity description: The Dartmouth Summer Research Project on Artificial Intelligence was the seminal 1956 workshop that effectively launched the field of artificial intelligence as a formal area of academic research.
-
A.
"A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence"
chosen
"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.
Berkeley Artificial Intelligence Research Lab
The Berkeley Artificial Intelligence Research Lab is a leading UC Berkeley research group focused on advancing the theory and practice of artificial intelligence and machine learning.
-
D.
Stanford Artificial Intelligence Laboratory
The Stanford Artificial Intelligence Laboratory is a leading research center at Stanford University dedicated to advancing the theory and practice of artificial intelligence across robotics, machine learning, and related fields.
-
E.
“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.
- F. None of above.
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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551afb448190a2ce2000193808ac |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6374ffbd081908c96847ec2d25cee |
completed | March 15, 2026, 4:36 a.m. |
| NEDg | Description generation | batch_69b637c48680819094140c463f1c0b93 |
completed | March 15, 2026, 4:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6383aecb081908c0dc402b8f4add5 |
completed | March 15, 2026, 4:40 a.m. |
Created at: March 12, 2026, 11:29 p.m.