Triple
T11977982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tore Hägglund |
E285083
|
entity |
| Predicate | coAuthorOf |
P2389
|
FINISHED |
| Object |
Advanced PID Control
Advanced PID Control is a technical book that provides in-depth theory, design methods, and practical tuning strategies for proportional–integral–derivative (PID) control systems in industrial process control.
|
E285085
|
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: Advanced PID Control | Statement: [Tore Hägglund, coAuthorOf, Advanced PID Control]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Advanced PID Control Context triple: [Tore Hägglund, coAuthorOf, Advanced PID Control]
-
A.
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.
-
B.
Control System Design
Control System Design is a foundational engineering textbook that presents modern methods for modeling, analyzing, and designing feedback 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.
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.
-
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. 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: Advanced PID Control Triple: [Tore Hägglund, coAuthorOf, Advanced PID Control]
Generated description
Advanced PID Control is a technical book that provides in-depth theory, design methods, and practical tuning strategies for proportional–integral–derivative (PID) control systems in industrial process control.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Advanced PID Control Target entity description: Advanced PID Control is a technical book that provides in-depth theory, design methods, and practical tuning strategies for proportional–integral–derivative (PID) control systems in industrial process control.
-
A.
PID Controllers: Theory, Design, and Tuning
chosen
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.
-
B.
Control System Design
Control System Design is a foundational engineering textbook that presents modern methods for modeling, analyzing, and designing feedback 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.
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.
-
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.
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_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. |
| NEDg | Description generation | batch_69f47b7ac4048190ae09f18f1a90338f |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47db91f38819092b7b5c5e2bb489b |
completed | May 1, 2026, 10:17 a.m. |
Created at: April 8, 2026, 9:46 p.m.