Triple

T4850109
Position Surface form Disambiguated ID Type / Status
Subject Scott Fahlman E108392 entity
Predicate authorOf P4244 FINISHED
Object NETL: A System for Representing and Using Real-World Knowledge
NETL: A System for Representing and Using Real-World Knowledge is an influential early work in artificial intelligence that introduces a network-based framework for encoding and reasoning about commonsense knowledge.
E474909 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: NETL: A System for Representing and Using Real-World Knowledge | Statement: [Scott Fahlman, authorOf, NETL: A System for Representing and Using Real-World Knowledge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NETL: A System for Representing and Using Real-World Knowledge
Context triple: [Scott Fahlman, authorOf, NETL: A System for Representing and Using Real-World Knowledge]
  • A. “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.
  • B. Simple Knowledge Organization System
    The Simple Knowledge Organization System (SKOS) is a W3C standard model for representing and sharing knowledge organization systems such as thesauri, classification schemes, and taxonomies on the Semantic Web.
  • C. 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.
  • D. OWL 2 RL
    OWL 2 RL is a profile of the Web Ontology Language designed for scalable reasoning using rule-based systems, enabling efficient inference over large datasets.
  • E. Pointer Networks
    Pointer Networks are a type of neural network architecture that uses attention mechanisms to output discrete positions in an input sequence, enabling solutions to combinatorial problems like sorting and the traveling salesman problem.
  • 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: NETL: A System for Representing and Using Real-World Knowledge
Triple: [Scott Fahlman, authorOf, NETL: A System for Representing and Using Real-World Knowledge]
Generated description
NETL: A System for Representing and Using Real-World Knowledge is an influential early work in artificial intelligence that introduces a network-based framework for encoding and reasoning about commonsense knowledge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NETL: A System for Representing and Using Real-World Knowledge
Target entity description: NETL: A System for Representing and Using Real-World Knowledge is an influential early work in artificial intelligence that introduces a network-based framework for encoding and reasoning about commonsense knowledge.
  • A. “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.
  • B. Simple Knowledge Organization System
    The Simple Knowledge Organization System (SKOS) is a W3C standard model for representing and sharing knowledge organization systems such as thesauri, classification schemes, and taxonomies on the Semantic Web.
  • C. 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.
  • D. OWL 2 RL
    OWL 2 RL is a profile of the Web Ontology Language designed for scalable reasoning using rule-based systems, enabling efficient inference over large datasets.
  • E. Pointer Networks
    Pointer Networks are a type of neural network architecture that uses attention mechanisms to output discrete positions in an input sequence, enabling solutions to combinatorial problems like sorting and the traveling salesman problem.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d1e5cf08190bd6b6a524748f170 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cdefda8819095fbc04446bf32f5 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be5dadcec88190bf9a272c4a9aef9a completed March 21, 2026, 8:58 a.m.
NED2 Entity disambiguation (via description) batch_69be6159ff7c8190baa116240f76dea5 completed March 21, 2026, 9:14 a.m.
Created at: March 20, 2026, 1:25 p.m.