Triple
T820427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marvin Minsky |
E17739
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Semantic Information Processing
Semantic Information Processing is a landmark 1968 edited volume by Marvin Minsky that helped establish foundational approaches to artificial intelligence, knowledge representation, and natural language understanding.
|
E98084
|
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: Semantic Information Processing | Statement: [Marvin Minsky, notableWork, Semantic Information Processing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semantic Information Processing Context triple: [Marvin Minsky, notableWork, Semantic Information Processing]
-
A.
ACM Transactions on Asian and Low-Resource Language Information Processing
ACM Transactions on Asian and Low-Resource Language Information Processing is a peer-reviewed scholarly journal focusing on computational linguistics, natural language processing, and information processing for Asian and other low-resource languages.
-
B.
Semantic Web
The Semantic Web is an extension of the current web in which information is given well-defined meaning through standards like RDF and OWL, enabling machines to understand, share, and reason about data across different systems.
-
C.
Knowledge and Human Interests
Knowledge and Human Interests is a seminal 1968 work of critical social theory by Jürgen Habermas that analyzes how different human interests shape the forms and purposes of knowledge.
-
D.
IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
-
E.
ACM International Conference on Web Intelligence
The ACM International Conference on Web Intelligence is a leading research conference focused on the theory and applications of artificial intelligence, data mining, and knowledge discovery on the web and related online systems.
- 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: Semantic Information Processing Triple: [Marvin Minsky, notableWork, Semantic Information Processing]
Generated description
Semantic Information Processing is a landmark 1968 edited volume by Marvin Minsky that helped establish foundational approaches to artificial intelligence, knowledge representation, and natural language understanding.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Semantic Information Processing Target entity description: Semantic Information Processing is a landmark 1968 edited volume by Marvin Minsky that helped establish foundational approaches to artificial intelligence, knowledge representation, and natural language understanding.
-
A.
ACM Transactions on Asian and Low-Resource Language Information Processing
ACM Transactions on Asian and Low-Resource Language Information Processing is a peer-reviewed scholarly journal focusing on computational linguistics, natural language processing, and information processing for Asian and other low-resource languages.
-
B.
Semantic Web
The Semantic Web is an extension of the current web in which information is given well-defined meaning through standards like RDF and OWL, enabling machines to understand, share, and reason about data across different systems.
-
C.
Knowledge and Human Interests
Knowledge and Human Interests is a seminal 1968 work of critical social theory by Jürgen Habermas that analyzes how different human interests shape the forms and purposes of knowledge.
-
D.
IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
The IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence is a leading professional body that advances research and standards in computer vision, pattern recognition, and machine learning within the IEEE community.
-
E.
ACM International Conference on Web Intelligence
The ACM International Conference on Web Intelligence is a leading research conference focused on the theory and applications of artificial intelligence, data mining, and knowledge discovery on the web and related online systems.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab6698d881908d8c5d91259f97ec |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d91c2948190bc13a223548facba |
completed | March 3, 2026, 11:24 p.m. |
| NEDg | Description generation | batch_69a77e828bb08190a67768d08557f305 |
completed | March 4, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a77efbc2ac819083a900d2ecd8924e |
completed | March 4, 2026, 12:38 a.m. |
Created at: March 1, 2026, 7:38 p.m.