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.