Triple
T5567010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Planck Institute for Intelligent Systems |
E145903
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Max Planck Institute for Biological Cybernetics (parts)
The Max Planck Institute for Biological Cybernetics (parts) refers to former sections of a renowned German research institute that specialized in understanding information processing in the brain and nervous system, which later became components of the Max Planck Institute for Intelligent Systems.
|
E145903
|
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: Max Planck Institute for Biological Cybernetics (parts) | Statement: [Max Planck Institute for Intelligent Systems, formedByMergerOf, Max Planck Institute for Biological Cybernetics (parts)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Max Planck Institute for Biological Cybernetics (parts) Context triple: [Max Planck Institute for Intelligent Systems, formedByMergerOf, Max Planck Institute for Biological Cybernetics (parts)]
-
A.
Max Planck Institute for Intelligent Systems
The Max Planck Institute for Intelligent Systems is a leading German research institute focused on advancing the understanding and development of intelligent systems, including machine learning, robotics, and related fields.
-
B.
Max Planck Institute for Human Cognitive and Brain Sciences
The Max Planck Institute for Human Cognitive and Brain Sciences is a leading German research institute focused on understanding the neural and cognitive mechanisms underlying human thought, perception, and behavior.
-
C.
Max Planck Institute for Informatics
The Max Planck Institute for Informatics is a leading German research institute specializing in computer science, particularly algorithms, data science, and artificial intelligence.
-
D.
Fraunhofer Institute for Cognitive Systems IKS
The Fraunhofer Institute for Cognitive Systems IKS is a German research institute focused on safe, reliable, and intelligent cognitive systems, particularly in areas like autonomous systems, AI, and embedded software.
-
E.
Max Planck Institute for Dynamics and Self-Organization
The Max Planck Institute for Dynamics and Self-Organization is a German research institute in Göttingen specializing in the fundamental physics and interdisciplinary study of complex, nonlinear, and self-organizing 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: Max Planck Institute for Biological Cybernetics (parts) Triple: [Max Planck Institute for Intelligent Systems, formedByMergerOf, Max Planck Institute for Biological Cybernetics (parts)]
Generated description
The Max Planck Institute for Biological Cybernetics (parts) refers to former sections of a renowned German research institute that specialized in understanding information processing in the brain and nervous system, which later became components of the Max Planck Institute for Intelligent Systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Max Planck Institute for Biological Cybernetics (parts) Target entity description: The Max Planck Institute for Biological Cybernetics (parts) refers to former sections of a renowned German research institute that specialized in understanding information processing in the brain and nervous system, which later became components of the Max Planck Institute for Intelligent Systems.
-
A.
Max Planck Institute for Intelligent Systems
chosen
The Max Planck Institute for Intelligent Systems is a leading German research institute focused on advancing the understanding and development of intelligent systems, including machine learning, robotics, and related fields.
-
B.
Max Planck Institute for Human Cognitive and Brain Sciences
The Max Planck Institute for Human Cognitive and Brain Sciences is a leading German research institute focused on understanding the neural and cognitive mechanisms underlying human thought, perception, and behavior.
-
C.
Max Planck Institute for Informatics
The Max Planck Institute for Informatics is a leading German research institute specializing in computer science, particularly algorithms, data science, and artificial intelligence.
-
D.
Fraunhofer Institute for Cognitive Systems IKS
The Fraunhofer Institute for Cognitive Systems IKS is a German research institute focused on safe, reliable, and intelligent cognitive systems, particularly in areas like autonomous systems, AI, and embedded software.
-
E.
Max Planck Institute for Dynamics and Self-Organization
The Max Planck Institute for Dynamics and Self-Organization is a German research institute in Göttingen specializing in the fundamental physics and interdisciplinary study of complex, nonlinear, and self-organizing 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_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.