Triple

T12325591
Position Surface form Disambiguated ID Type / Status
Subject SCORM E293821 entity
Predicate developedBy P73 FINISHED
Object Advanced Distributed Learning Initiative
The Advanced Distributed Learning Initiative is a U.S. Department of Defense program that develops and promotes standards and technologies to enable interoperable, reusable, and accessible e-learning content and systems.
E975154 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: Advanced Distributed Learning Initiative | Statement: [SCORM, developedBy, Advanced Distributed Learning Initiative]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Advanced Distributed Learning Initiative
Context triple: [SCORM, developedBy, Advanced Distributed Learning Initiative]
  • A. Lifelong Learning Machines program
    The Lifelong Learning Machines program is a DARPA research initiative aimed at developing AI systems that can continuously learn and adapt from experience in dynamic, real-world environments.
  • B. Large-Scale Distributed Deep Networks
    Large-Scale Distributed Deep Networks is a seminal research work that introduced methods for training deep neural networks efficiently across large-scale distributed computing infrastructure, enabling breakthroughs in modern large-scale AI systems.
  • C. “Large-Scale Machine Learning with Stochastic Gradient Descent”
    “Large-Scale Machine Learning with Stochastic Gradient Descent” is a widely cited work by Léon Bottou that analyzes and advocates stochastic gradient descent as an efficient optimization method for large-scale machine learning problems.
  • D. Data-Driven Discovery Initiative
    The Data-Driven Discovery Initiative is a research program that advances scientific discovery by supporting innovative data science methods, tools, and researchers across disciplines.
  • E. Technology-Enabled Learning initiative
    The Technology-Enabled Learning initiative is a Commonwealth of Learning program that supports institutions and educators in effectively integrating digital technologies into teaching and learning to improve access and quality in education.
  • 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: Advanced Distributed Learning Initiative
Triple: [SCORM, developedBy, Advanced Distributed Learning Initiative]
Generated description
The Advanced Distributed Learning Initiative is a U.S. Department of Defense program that develops and promotes standards and technologies to enable interoperable, reusable, and accessible e-learning content and systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Advanced Distributed Learning Initiative
Target entity description: The Advanced Distributed Learning Initiative is a U.S. Department of Defense program that develops and promotes standards and technologies to enable interoperable, reusable, and accessible e-learning content and systems.
  • A. Lifelong Learning Machines program
    The Lifelong Learning Machines program is a DARPA research initiative aimed at developing AI systems that can continuously learn and adapt from experience in dynamic, real-world environments.
  • B. Large-Scale Distributed Deep Networks
    Large-Scale Distributed Deep Networks is a seminal research work that introduced methods for training deep neural networks efficiently across large-scale distributed computing infrastructure, enabling breakthroughs in modern large-scale AI systems.
  • C. “Large-Scale Machine Learning with Stochastic Gradient Descent”
    “Large-Scale Machine Learning with Stochastic Gradient Descent” is a widely cited work by Léon Bottou that analyzes and advocates stochastic gradient descent as an efficient optimization method for large-scale machine learning problems.
  • D. Data-Driven Discovery Initiative
    The Data-Driven Discovery Initiative is a research program that advances scientific discovery by supporting innovative data science methods, tools, and researchers across disciplines.
  • E. Technology-Enabled Learning initiative
    The Technology-Enabled Learning initiative is a Commonwealth of Learning program that supports institutions and educators in effectively integrating digital technologies into teaching and learning to improve access and quality in education.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4e7e588190b37e2413bc649198 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8d27288190bdf32acd600141db completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f9493d081909a543bcafeb508d1 completed May 2, 2026, 4 p.m.
NED2 Entity disambiguation (via description) batch_69f620ad9ec0819099909142fbad6412 completed May 2, 2026, 4:05 p.m.
Created at: April 8, 2026, 9:53 p.m.