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.