Triple

T1311618
Position Surface form Disambiguated ID Type / Status
Subject Thomas Kailath E28003 entity
Predicate notableWork P4 FINISHED
Object Innovations approach to detection and estimation
"Innovations approach to detection and estimation" is a seminal work by Thomas Kailath that develops a powerful stochastic framework for solving signal detection and parameter estimation problems, particularly in control and communication systems.
E150234 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: Innovations approach to detection and estimation | Statement: [Thomas Kailath, notableWork, Innovations approach to detection and estimation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Innovations approach to detection and estimation
Context triple: [Thomas Kailath, notableWork, Innovations approach to detection and estimation]
  • A. IEEE Radar Systems Panel
    The IEEE Radar Systems Panel is a technical body within the IEEE that provides leadership, coordination, and guidance for the radar engineering community, including overseeing major radar-related conferences and activities.
  • B. Commission C – Radio-communication Systems and Signal Processing
    Commission C – Radio-communication Systems and Signal Processing is a specialized body within the International Union of Radio Science that focuses on research and standards related to radio-communication technologies and signal processing methods.
  • C. IEEE Global Conference on Signal and Information Processing
    The IEEE Global Conference on Signal and Information Processing is a premier international forum where researchers and practitioners present and discuss advances in signal and information processing theory, algorithms, and applications.
  • D. IEEE Transactions on Signal Processing
    IEEE Transactions on Signal Processing is a leading peer-reviewed journal that publishes advanced research on the theory, algorithms, and applications of signal processing.
  • E. IEEE Radar Conference
    The IEEE Radar Conference is a leading annual technical conference that brings together researchers, engineers, and practitioners to present and discuss advances in radar theory, technology, and applications.
  • 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: Innovations approach to detection and estimation
Triple: [Thomas Kailath, notableWork, Innovations approach to detection and estimation]
Generated description
"Innovations approach to detection and estimation" is a seminal work by Thomas Kailath that develops a powerful stochastic framework for solving signal detection and parameter estimation problems, particularly in control and communication systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Innovations approach to detection and estimation
Target entity description: "Innovations approach to detection and estimation" is a seminal work by Thomas Kailath that develops a powerful stochastic framework for solving signal detection and parameter estimation problems, particularly in control and communication systems.
  • A. IEEE Radar Systems Panel
    The IEEE Radar Systems Panel is a technical body within the IEEE that provides leadership, coordination, and guidance for the radar engineering community, including overseeing major radar-related conferences and activities.
  • B. Commission C – Radio-communication Systems and Signal Processing
    Commission C – Radio-communication Systems and Signal Processing is a specialized body within the International Union of Radio Science that focuses on research and standards related to radio-communication technologies and signal processing methods.
  • C. IEEE Global Conference on Signal and Information Processing
    The IEEE Global Conference on Signal and Information Processing is a premier international forum where researchers and practitioners present and discuss advances in signal and information processing theory, algorithms, and applications.
  • D. IEEE Transactions on Signal Processing
    IEEE Transactions on Signal Processing is a leading peer-reviewed journal that publishes advanced research on the theory, algorithms, and applications of signal processing.
  • E. IEEE Radar Conference
    The IEEE Radar Conference is a leading annual technical conference that brings together researchers, engineers, and practitioners to present and discuss advances in radar theory, technology, and applications.
  • 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1560f888190bdd9107b08395e0b completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbaec736881909645919764d73f5f completed March 7, 2026, 11:55 p.m.
NEDg Description generation batch_69acbbe67f0881908796ae064e72571d completed March 7, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69acbc8c3cc88190a0764b8d306b40ab completed March 8, 2026, 12:02 a.m.
Created at: March 1, 2026, 7:55 p.m.