Triple

T9838319
Position Surface form Disambiguated ID Type / Status
Subject Deeplearning.ai E239157 entity
Predicate hasNotableCourse P64158 FINISHED
Object Deep Learning Specialization
Deep Learning Specialization is a popular online course series, led by Andrew Ng, that teaches core deep learning concepts and practical neural network techniques through hands-on projects.
E239157 NE FINISHED

How this triple was built (5 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: Deep Learning Specialization | Statement: [Deeplearning.ai, hasNotableCourse, Deep Learning Specialization]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deep Learning Specialization
Context triple: [Deeplearning.ai, hasNotableCourse, Deep Learning Specialization]
  • A. Deeplearning.ai
    Deeplearning.ai is an online education company specializing in artificial intelligence and deep learning courses and resources.
  • B. "Deep Learning with Python"
    "Deep Learning with Python" is a practical book that introduces deep learning concepts and techniques using the Keras library and the Python ecosystem, aimed at helping developers and researchers build and understand modern neural networks.
  • C. Deep Learning (book)
    Deep Learning (book) is a foundational textbook that systematically introduces the theory and practice of modern deep neural networks, co-authored by leading researchers including Yoshua Bengio.
  • D. MS in Machine Learning
    MS in Machine Learning is a specialized graduate program at Carnegie Mellon University focused on advanced theory and applications of machine learning and statistical methods for building intelligent systems.
  • E. NVIDIA AI Workflows
    NVIDIA AI Workflows are pre-built, end-to-end AI pipelines from NVIDIA that streamline the development, deployment, and scaling of AI applications across common enterprise use cases.
  • 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: Deep Learning Specialization
Triple: [Deeplearning.ai, hasNotableCourse, Deep Learning Specialization]
Generated description
Deep Learning Specialization is a popular online course series, led by Andrew Ng, that teaches core deep learning concepts and practical neural network techniques through hands-on projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Deep Learning Specialization
Target entity description: Deep Learning Specialization is a popular online course series, led by Andrew Ng, that teaches core deep learning concepts and practical neural network techniques through hands-on projects.
  • A. Deeplearning.ai chosen
    Deeplearning.ai is an online education company specializing in artificial intelligence and deep learning courses and resources.
  • B. "Deep Learning with Python"
    "Deep Learning with Python" is a practical book that introduces deep learning concepts and techniques using the Keras library and the Python ecosystem, aimed at helping developers and researchers build and understand modern neural networks.
  • C. Deep Learning (book)
    Deep Learning (book) is a foundational textbook that systematically introduces the theory and practice of modern deep neural networks, co-authored by leading researchers including Yoshua Bengio.
  • D. MS in Machine Learning
    MS in Machine Learning is a specialized graduate program at Carnegie Mellon University focused on advanced theory and applications of machine learning and statistical methods for building intelligent systems.
  • E. NVIDIA AI Workflows
    NVIDIA AI Workflows are pre-built, end-to-end AI pipelines from NVIDIA that streamline the development, deployment, and scaling of AI applications across common enterprise use cases.
  • F. None of above.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableCourse
Context triple: [Deeplearning.ai, hasNotableCourse, Deep Learning Specialization]
  • A. notableCourse chosen
    Indicates that a course is particularly significant, distinguished, or noteworthy in relation to an entity (such as a person or institution).
  • B. notableCourseType
    Indicates that a course has a particular notable or distinguished type or classification (e.g., flagship, honors, or otherwise specially recognized).
  • C. hasPrimaryCourse
    Indicates that an entity is associated with its main or principal course in a given context (such as a meal, curriculum, or sequence of offerings).
  • D. hasMultipleCourses
    Indicates that an entity is associated with more than one course within the given context.
  • E. taughtCourse
    Indicates that an entity (typically an instructor) has taught a particular course.
  • F. None of above.

Provenance (6 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb34921b881909836ba0f5b42a27b completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5d145ac8190ad10a4328216ef54 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6bb23cc81909efbeccf147018e8 completed April 5, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1d726e58c819090135d1ff275d2d8 completed April 5, 2026, 3:29 a.m.
PD Predicate disambiguation batch_69cd03e30bc08190816c0a6d29c21b0f completed April 1, 2026, 11:39 a.m.
Created at: March 30, 2026, 8:33 p.m.