Triple

T15667035
Position Surface form Disambiguated ID Type / Status
Subject Jean Walrand E377212 entity
Predicate notableWork P4 FINISHED
Object An Introduction to Queueing Networks
An Introduction to Queueing Networks is a foundational textbook by Jean Walrand that systematically presents the theory, modeling, and analysis of queueing networks in operations research and computer and communication systems.
E1170219 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: An Introduction to Queueing Networks | Statement: [Jean Walrand, notableWork, An Introduction to Queueing Networks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: An Introduction to Queueing Networks
Context triple: [Jean Walrand, notableWork, An Introduction to Queueing Networks]
  • A. Queueing Systems, Volume 1: Theory
    Queueing Systems, Volume 1: Theory is a foundational textbook by Leonard Kleinrock that rigorously develops the mathematical theory of queueing processes and their applications in communication and computer systems.
  • B. Communication Nets: Stochastic Message Flow and Delay
    "Communication Nets: Stochastic Message Flow and Delay" is a foundational book in queueing theory and computer networking that rigorously analyzes message traffic and delays in communication networks.
  • C. M/G/1 queue
    An M/G/1 queue is a single-server queueing model with Markovian (Poisson) arrivals, a general service-time distribution, and a first-come, first-served discipline, widely used to analyze waiting times and system performance in stochastic processes.
  • D. Priority-based Flow Control
    Priority-based Flow Control is an Ethernet link-layer mechanism that enables lossless data transmission for selected traffic classes by pausing specific priorities instead of the entire link.
  • E. Congestion Avoidance and Control (SIGCOMM 1988)
    Congestion Avoidance and Control (SIGCOMM 1988) is Van Jacobson’s seminal paper that introduced key TCP congestion control algorithms, fundamentally improving Internet stability and performance.
  • 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: An Introduction to Queueing Networks
Triple: [Jean Walrand, notableWork, An Introduction to Queueing Networks]
Generated description
An Introduction to Queueing Networks is a foundational textbook by Jean Walrand that systematically presents the theory, modeling, and analysis of queueing networks in operations research and computer and communication systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: An Introduction to Queueing Networks
Target entity description: An Introduction to Queueing Networks is a foundational textbook by Jean Walrand that systematically presents the theory, modeling, and analysis of queueing networks in operations research and computer and communication systems.
  • A. Queueing Systems, Volume 1: Theory
    Queueing Systems, Volume 1: Theory is a foundational textbook by Leonard Kleinrock that rigorously develops the mathematical theory of queueing processes and their applications in communication and computer systems.
  • B. Communication Nets: Stochastic Message Flow and Delay
    "Communication Nets: Stochastic Message Flow and Delay" is a foundational book in queueing theory and computer networking that rigorously analyzes message traffic and delays in communication networks.
  • C. M/G/1 queue
    An M/G/1 queue is a single-server queueing model with Markovian (Poisson) arrivals, a general service-time distribution, and a first-come, first-served discipline, widely used to analyze waiting times and system performance in stochastic processes.
  • D. Priority-based Flow Control
    Priority-based Flow Control is an Ethernet link-layer mechanism that enables lossless data transmission for selected traffic classes by pausing specific priorities instead of the entire link.
  • E. Congestion Avoidance and Control (SIGCOMM 1988)
    Congestion Avoidance and Control (SIGCOMM 1988) is Van Jacobson’s seminal paper that introduced key TCP congestion control algorithms, fundamentally improving Internet stability and performance.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f1151548190a14607e762686cb1 completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67a22888819092ea521bbad7bcb7 completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff68fd16b88190a78772bcd0302189 completed May 9, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff6943d47881908c1634b43a6d6b96 completed May 9, 2026, 5:05 p.m.
Created at: April 10, 2026, 4:16 a.m.