Triple

T18876925
Position Surface form Disambiguated ID Type / Status
Subject Edward Feigenbaum E461710 entity
Predicate notableWork P4 FINISHED
Object Knowledge Engineering
Knowledge Engineering is a field in artificial intelligence focused on designing, building, and maintaining knowledge-based systems that capture and apply expert-level reasoning.
 E1346770 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: Knowledge Engineering | Statement: [Edward Feigenbaum, notableWork, Knowledge Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Knowledge Engineering
Context triple: [Edward Feigenbaum, notableWork, Knowledge Engineering]
  • A. Intelligent Systems
    Intelligent Systems is a Japanese video game development company best known for creating the Fire Emblem and Paper Mario series.
  • B. IEEE Transactions on Knowledge and Data Engineering
    IEEE Transactions on Knowledge and Data Engineering is a leading peer-reviewed journal published by the IEEE Computer Society that focuses on research in knowledge discovery, data mining, databases, and data-intensive systems.
  • C. NETL knowledge representation system
    The NETL knowledge representation system is an AI framework developed by Scott Fahlman for representing and reasoning about natural language knowledge in a structured, machine-interpretable form.
  • D. “A System for Representing and Using Real-World Knowledge”
    “A System for Representing and Using Real-World Knowledge” is a seminal AI research paper by John McCarthy that introduces a logical framework for representing commonsense knowledge about the real world.
  • E. Global Open Knowledgebase (GOKb) collaboration
    The Global Open Knowledgebase (GOKb) collaboration is an international, community-driven initiative that provides open, curated metadata about electronic resources to support library and scholarly communication workflows.
  • 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: Knowledge Engineering
Triple: [Edward Feigenbaum, notableWork, Knowledge Engineering]
Generated description
Knowledge Engineering is a field in artificial intelligence focused on designing, building, and maintaining knowledge-based systems that capture and apply expert-level reasoning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Knowledge Engineering
Target entity description: Knowledge Engineering is a field in artificial intelligence focused on designing, building, and maintaining knowledge-based systems that capture and apply expert-level reasoning.
  • A. Intelligent Systems
    Intelligent Systems is a Japanese video game development company best known for creating the Fire Emblem and Paper Mario series.
  • B. IEEE Transactions on Knowledge and Data Engineering
    IEEE Transactions on Knowledge and Data Engineering is a leading peer-reviewed journal published by the IEEE Computer Society that focuses on research in knowledge discovery, data mining, databases, and data-intensive systems.
  • C. NETL knowledge representation system
    The NETL knowledge representation system is an AI framework developed by Scott Fahlman for representing and reasoning about natural language knowledge in a structured, machine-interpretable form.
  • D. “A System for Representing and Using Real-World Knowledge”
    “A System for Representing and Using Real-World Knowledge” is a seminal AI research paper by John McCarthy that introduces a logical framework for representing commonsense knowledge about the real world.
  • E. Global Open Knowledgebase (GOKb) collaboration
    The Global Open Knowledgebase (GOKb) collaboration is an international, community-driven initiative that provides open, curated metadata about electronic resources to support library and scholarly communication workflows.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3cf0aa0819090991fc9e14910fb completed April 20, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575c1c96c81908f37578b29455e82 completed May 14, 2026, 7:12 a.m.
NEDg Description generation batch_6a0576af871481909ab3b9c90f9c1220 completed May 14, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_6a05777f51b481909a7916bc40dcfd69 completed May 14, 2026, 7:19 a.m.
Created at: April 10, 2026, 11:57 a.m.