Triple

T11977948
Position Surface form Disambiguated ID Type / Status
Subject Richard M. Murray E285082 entity
Predicate notableWork P4 FINISHED
Object Feedback Systems: An Introduction for Scientists and Engineers E285084 NE FINISHED

How this triple was built (2 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: Feedback Systems: An Introduction for Scientists and Engineers | Statement: [Richard M. Murray, notableWork, Feedback Systems: An Introduction for Scientists and Engineers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feedback Systems: An Introduction for Scientists and Engineers
Context triple: [Richard M. Murray, notableWork, Feedback Systems: An Introduction for Scientists and Engineers]
  • A. Feedback Systems: An Introduction for Scientists and Engineers chosen
    Feedback Systems: An Introduction for Scientists and Engineers is a widely used textbook that provides a modern, rigorous introduction to control theory and feedback principles for science and engineering students.
  • B. Quantitative Feedback Theory
    Quantitative Feedback Theory is a robust control design methodology that uses frequency-domain techniques and quantitative bounds to ensure system performance and stability under uncertainty.
  • C. Lectures in Feedback Design for Multivariable Systems
    Lectures in Feedback Design for Multivariable Systems is a technical book by control theorist Alberto Isidori that presents systematic methods for designing feedback controllers for complex multivariable dynamical systems.
  • D. PID Controllers: Theory, Design, and Tuning
    PID Controllers: Theory, Design, and Tuning is a foundational engineering text that systematically presents the principles, practical design methods, and tuning techniques for proportional–integral–derivative control systems.
  • E. Servomechanisms and Regulating System Design
    "Servomechanisms and Regulating System Design" is a foundational engineering text that systematically develops the theory and practical design methods of automatic control and feedback systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90393cfb08190b5b45d3e5e32fad3 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471f6afc48190856a0f7c486b28aa completed May 1, 2026, 9:27 a.m.
Created at: April 8, 2026, 9:46 p.m.