Triple

T1634113
Position Surface form Disambiguated ID Type / Status
Subject John L. Hennessy E35324 entity
Predicate notableWork P4 FINISHED
Object "Computer Architecture: A Quantitative Approach"
"Computer Architecture: A Quantitative Approach" is a seminal textbook that rigorously explores modern computer architecture design and performance analysis, widely used in academia and industry as a definitive reference.
E184206 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: "Computer Architecture: A Quantitative Approach" | Statement: [John L. Hennessy, notableWork, "Computer Architecture: A Quantitative Approach"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Computer Architecture: A Quantitative Approach"
Context triple: [John L. Hennessy, notableWork, "Computer Architecture: A Quantitative Approach"]
  • A. Modern Operating Systems
    Modern Operating Systems is a widely used computer science textbook by Andrew S. Tanenbaum (often with Herbert Bos) that provides a comprehensive introduction to the design and implementation of contemporary operating systems.
  • B. Operating Systems: Design and Implementation
    Operating Systems: Design and Implementation is a foundational textbook by Andrew S. Tanenbaum that presents the principles of operating system design alongside a detailed case study of the MINIX operating system.
  • C. Xe-HPG microarchitecture
    Xe-HPG microarchitecture is Intel’s high-performance gaming-oriented GPU architecture designed to power its discrete Arc graphics cards with advanced features like hardware-accelerated ray tracing.
  • D. "How to Make a Multiprocessor Computer That Correctly Executes Multiprocess Programs"
    "How to Make a Multiprocessor Computer That Correctly Executes Multiprocess Programs" is a seminal paper by Leslie Lamport that introduced foundational concepts for ensuring correctness and consistency in concurrent and multiprocessor systems.
  • E. ACM Transactions on Architecture and Code Optimization
    ACM Transactions on Architecture and Code Optimization is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in computer architecture, code generation, optimization, and related performance-improving techniques.
  • 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: "Computer Architecture: A Quantitative Approach"
Triple: [John L. Hennessy, notableWork, "Computer Architecture: A Quantitative Approach"]
Generated description
"Computer Architecture: A Quantitative Approach" is a seminal textbook that rigorously explores modern computer architecture design and performance analysis, widely used in academia and industry as a definitive reference.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: "Computer Architecture: A Quantitative Approach"
Target entity description: "Computer Architecture: A Quantitative Approach" is a seminal textbook that rigorously explores modern computer architecture design and performance analysis, widely used in academia and industry as a definitive reference.
  • A. Modern Operating Systems
    Modern Operating Systems is a widely used computer science textbook by Andrew S. Tanenbaum (often with Herbert Bos) that provides a comprehensive introduction to the design and implementation of contemporary operating systems.
  • B. Operating Systems: Design and Implementation
    Operating Systems: Design and Implementation is a foundational textbook by Andrew S. Tanenbaum that presents the principles of operating system design alongside a detailed case study of the MINIX operating system.
  • C. Xe-HPG microarchitecture
    Xe-HPG microarchitecture is Intel’s high-performance gaming-oriented GPU architecture designed to power its discrete Arc graphics cards with advanced features like hardware-accelerated ray tracing.
  • D. "How to Make a Multiprocessor Computer That Correctly Executes Multiprocess Programs"
    "How to Make a Multiprocessor Computer That Correctly Executes Multiprocess Programs" is a seminal paper by Leslie Lamport that introduced foundational concepts for ensuring correctness and consistency in concurrent and multiprocessor systems.
  • E. ACM Transactions on Architecture and Code Optimization
    ACM Transactions on Architecture and Code Optimization is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in computer architecture, code generation, optimization, and related performance-improving techniques.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909f86abc8190b0b81310dcd7feed completed March 5, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d9db5c819081408977834ad606 completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad5a625d088190bbacbb69a0569d49 completed March 8, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_69ad5ae605f88190b5e42d7cf923e9bb completed March 8, 2026, 11:17 a.m.
Created at: March 4, 2026, 7:28 p.m.