Triple

T5567029
Position Surface form Disambiguated ID Type / Status
Subject Max Planck Institute for Intelligent Systems E145903 entity
Predicate hasResearchGroup P19536 FINISHED
Object Empirical Inference Department
The Empirical Inference Department is a research group at the Max Planck Institute for Intelligent Systems that focuses on machine learning, statistical inference, and data-driven modeling of complex systems.
E533116 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: Empirical Inference Department | Statement: [Max Planck Institute for Intelligent Systems, hasResearchGroup, Empirical Inference Department]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Empirical Inference Department
Context triple: [Max Planck Institute for Intelligent Systems, hasResearchGroup, Empirical Inference Department]
  • A. Machine Learning Department, Carnegie Mellon University
    The Machine Learning Department at Carnegie Mellon University is a pioneering academic unit dedicated to research and education in machine learning, artificial intelligence, and related computational disciplines.
  • B. Stanford University Department of Statistics
    The Stanford University Department of Statistics is a leading academic department renowned for its research and teaching in probability, statistics, and data science.
  • C. MIT Laboratory for Information and Decision Systems
    The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
  • D. Robert Bosch Centre for Data Science and Artificial Intelligence
    The Robert Bosch Centre for Data Science and Artificial Intelligence is a leading interdisciplinary research hub focused on advancing AI and data science through cutting-edge research, innovation, and industry collaboration.
  • E. Office of Data Science
    The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
  • 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: Empirical Inference Department
Triple: [Max Planck Institute for Intelligent Systems, hasResearchGroup, Empirical Inference Department]
Generated description
The Empirical Inference Department is a research group at the Max Planck Institute for Intelligent Systems that focuses on machine learning, statistical inference, and data-driven modeling of complex systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Empirical Inference Department
Target entity description: The Empirical Inference Department is a research group at the Max Planck Institute for Intelligent Systems that focuses on machine learning, statistical inference, and data-driven modeling of complex systems.
  • A. Machine Learning Department, Carnegie Mellon University
    The Machine Learning Department at Carnegie Mellon University is a pioneering academic unit dedicated to research and education in machine learning, artificial intelligence, and related computational disciplines.
  • B. Stanford University Department of Statistics
    The Stanford University Department of Statistics is a leading academic department renowned for its research and teaching in probability, statistics, and data science.
  • C. MIT Laboratory for Information and Decision Systems
    The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
  • D. Robert Bosch Centre for Data Science and Artificial Intelligence
    The Robert Bosch Centre for Data Science and Artificial Intelligence is a leading interdisciplinary research hub focused on advancing AI and data science through cutting-edge research, innovation, and industry collaboration.
  • E. Office of Data Science
    The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
  • 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_69c008fdae24819081aa002ad99cd966 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0203631c881908978d51e99155014 completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c028485ba081908565f7f852278cfc completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c0384874d0819082ba855bfe6f2ba4 completed March 22, 2026, 6:43 p.m.
NED2 Entity disambiguation (via description) batch_69c038e5dccc8190a5e1ec45712c00a3 completed March 22, 2026, 6:45 p.m.
Created at: March 22, 2026, 3:36 p.m.