Triple
T14383662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry Winograd |
E356669
|
entity |
| Predicate | developed |
P73
|
FINISHED |
| Object | SHRDLU natural language understanding system |
E1097823
|
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: SHRDLU natural language understanding system | Statement: [Terry Winograd, developed, SHRDLU natural language understanding system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SHRDLU natural language understanding system Context triple: [Terry Winograd, developed, SHRDLU natural language understanding system]
-
A.
SHRDLU
chosen
SHRDLU is an early natural language understanding computer program developed by Terry Winograd that could manipulate and reason about objects in a simple virtual "blocks world" using typed English commands.
-
B.
“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.
-
C.
“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.
-
D.
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.
-
E.
"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.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900d28c88190a37feee4743563de |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc0c9708190b5025e9675e0e925 |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 10, 2026, 1:16 a.m.