Triple

T8482639
Position Surface form Disambiguated ID Type / Status
Subject Jumper et al., Nature 2021 E200555 entity
Predicate hasAuthor P4244 FINISHED
Object Olaf Ronneberger
Olaf Ronneberger is a computer scientist best known for co-developing the U-Net convolutional neural network architecture widely used in biomedical image segmentation and other image analysis tasks.
 E736799 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: Olaf Ronneberger | Statement: [Jumper et al., Nature 2021, hasAuthor, Olaf Ronneberger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olaf Ronneberger
Context triple: [Jumper et al., Nature 2021, hasAuthor, Olaf Ronneberger]
  • A. Christian Szegedy
    Christian Szegedy is a computer scientist and AI researcher known for his influential work on deep learning and convolutional neural networks, including contributions to the Inception architecture.
  • B. Jonathon Shlens
    Jonathon Shlens is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work at Google.
  • C. Pascal Vincent
    Pascal Vincent is a Canadian professional ice hockey coach known for serving as head coach of the NHL’s Columbus Blue Jackets and for his extensive coaching career in junior and professional hockey.
  • D. Karen Simonyan
    Karen Simonyan is a computer scientist and deep learning researcher known for influential work in neural network architectures and generative models, including contributions to systems like WaveNet.
  • E. Alexei Efros
    Alexei Efros is a prominent computer scientist known for his influential work in computer vision and computational photography.
  • 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: Olaf Ronneberger
Triple: [Jumper et al., Nature 2021, hasAuthor, Olaf Ronneberger]
Generated description
Olaf Ronneberger is a computer scientist best known for co-developing the U-Net convolutional neural network architecture widely used in biomedical image segmentation and other image analysis tasks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olaf Ronneberger
Target entity description: Olaf Ronneberger is a computer scientist best known for co-developing the U-Net convolutional neural network architecture widely used in biomedical image segmentation and other image analysis tasks.
  • A. Christian Szegedy
    Christian Szegedy is a computer scientist and AI researcher known for his influential work on deep learning and convolutional neural networks, including contributions to the Inception architecture.
  • B. Jonathon Shlens
    Jonathon Shlens is a computer scientist and researcher known for his contributions to deep learning and computer vision, including influential work at Google.
  • C. Pascal Vincent
    Pascal Vincent is a Canadian professional ice hockey coach known for serving as head coach of the NHL’s Columbus Blue Jackets and for his extensive coaching career in junior and professional hockey.
  • D. Karen Simonyan
    Karen Simonyan is a computer scientist and deep learning researcher known for influential work in neural network architectures and generative models, including contributions to systems like WaveNet.
  • E. Alexei Efros
    Alexei Efros is a prominent computer scientist known for his influential work in computer vision and computational photography.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe53638c48190b742fc51d1b4442a completed March 31, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a2b2e9081909f19712946c6ec20 completed April 2, 2026, 9:43 a.m.
NEDg Description generation batch_69ce3b4008a0819096bb44b46f510213 completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3c000e608190adf1b6499d382529 completed April 2, 2026, 9:50 a.m.
Created at: March 30, 2026, 6:12 p.m.