Triple
T9229099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isaac Horowitz |
E221767
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
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.
|
E785142
|
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: Quantitative Feedback Theory | Statement: [Isaac Horowitz, knownFor, Quantitative Feedback Theory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quantitative Feedback Theory Context triple: [Isaac Horowitz, knownFor, Quantitative Feedback Theory]
-
A.
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.
-
B.
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.
-
C.
Åström–Wittenmark adaptive control framework
The Åström–Wittenmark adaptive control framework is a foundational methodology in control theory that systematically designs controllers capable of adjusting their parameters in real time to handle unknown or time-varying system dynamics.
-
D.
Zames–Falb multipliers
Zames–Falb multipliers are a class of frequency-domain operators used in control theory to analyze and guarantee the stability of nonlinear and time-varying feedback systems.
-
E.
Nonlinear Control Systems
Nonlinear Control Systems is a foundational textbook by Alberto Isidori that systematically develops the theory and design methods for controlling nonlinear dynamical systems.
- 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: Quantitative Feedback Theory Triple: [Isaac Horowitz, knownFor, Quantitative Feedback Theory]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quantitative Feedback Theory Target entity description: 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.
-
A.
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.
-
B.
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.
-
C.
Åström–Wittenmark adaptive control framework
The Åström–Wittenmark adaptive control framework is a foundational methodology in control theory that systematically designs controllers capable of adjusting their parameters in real time to handle unknown or time-varying system dynamics.
-
D.
Zames–Falb multipliers
Zames–Falb multipliers are a class of frequency-domain operators used in control theory to analyze and guarantee the stability of nonlinear and time-varying feedback systems.
-
E.
Nonlinear Control Systems
Nonlinear Control Systems is a foundational textbook by Alberto Isidori that systematically develops the theory and design methods for controlling nonlinear dynamical systems.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccdaa1c5b4819081dac6713053a8ae |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0666364608190b104425819ccedf1 |
completed | April 4, 2026, 1:16 a.m. |
| NEDg | Description generation | batch_69d06772c0508190883b22974ec09155 |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d067cab3a4819086a464f36a8adb3a |
completed | April 4, 2026, 1:22 a.m. |
Created at: March 30, 2026, 7:29 p.m.