Triple

T11108788
Position Surface form Disambiguated ID Type / Status
Subject Christof Koch E262700 entity
Predicate educatedAt P5 FINISHED
Object Max Planck Institute for Biological Cybernetics
The Max Planck Institute for Biological Cybernetics is a leading German research institute focused on understanding information processing in the brain through experimental, theoretical, and computational neuroscience.
E906301 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 | Statement: [Christof Koch, educatedAt, Max Planck Institute for Biological Cybernetics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Planck Institute for Biological Cybernetics
Context triple: [Christof Koch, educatedAt, Max Planck Institute for Biological Cybernetics]
  • 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. German Research Center for Artificial Intelligence
    The German Research Center for Artificial Intelligence (DFKI) is a leading German research institution focused on cutting-edge artificial intelligence research and its transfer into real-world industrial and societal applications.
  • 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
Triple: [Christof Koch, educatedAt, Max Planck Institute for Biological Cybernetics]
Generated description
The Max Planck Institute for Biological Cybernetics is a leading German research institute focused on understanding information processing in the brain through experimental, theoretical, and computational neuroscience.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Max Planck Institute for Biological Cybernetics
Target entity description: The Max Planck Institute for Biological Cybernetics is a leading German research institute focused on understanding information processing in the brain through experimental, theoretical, and computational neuroscience.
  • 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. German Research Center for Artificial Intelligence
    The German Research Center for Artificial Intelligence (DFKI) is a leading German research institution focused on cutting-edge artificial intelligence research and its transfer into real-world industrial and societal applications.
  • 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

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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a67d10c8190815d4c27d55270e8 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d72f8f48190a7414119a6be9d5e completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4374700b881908ebb185ae020487b completed April 19, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69e4399385c08190852c3cbd730a1f11 completed April 19, 2026, 2:10 a.m.
Created at: April 8, 2026, 9:27 p.m.