Triple

T9674961
Position Surface form Disambiguated ID Type / Status
Subject MXNet E234123 entity
Predicate previouslyDevelopedBy P85947 FINISHED
Object DMLC (Distributed Machine Learning Community)
DMLC (Distributed Machine Learning Community) is an open-source collaborative group that develops scalable machine learning and deep learning systems and tools, including major projects like Apache MXNet and XGBoost.
E814036 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: DMLC (Distributed Machine Learning Community) | Statement: [MXNet, previouslyDevelopedBy, DMLC (Distributed Machine Learning Community)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DMLC (Distributed Machine Learning Community)
Context triple: [MXNet, previouslyDevelopedBy, DMLC (Distributed Machine Learning Community)]
  • A. MXNet
    MXNet is an open-source deep learning framework designed for efficient, scalable training and inference across multiple GPUs and distributed systems.
  • B. PaddlePaddle
    PaddlePaddle is an open-source deep learning platform developed by Baidu, designed for large-scale distributed training and deployment of neural networks.
  • C. Microsoft Cognitive Toolkit
    Microsoft Cognitive Toolkit (CNTK) is an open-source deep learning framework developed by Microsoft for building, training, and deploying neural networks at scale.
  • D. TensorFlow
    TensorFlow is an open-source, end-to-end machine learning and deep learning framework widely used for building, training, and deploying neural network models at scale.
  • E. NVIDIA RAPIDS
    NVIDIA RAPIDS is an open-source suite of GPU-accelerated data science and analytics libraries designed to speed up end-to-end machine learning and data processing workflows.
  • 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: DMLC (Distributed Machine Learning Community)
Triple: [MXNet, previouslyDevelopedBy, DMLC (Distributed Machine Learning Community)]
Generated description
DMLC (Distributed Machine Learning Community) is an open-source collaborative group that develops scalable machine learning and deep learning systems and tools, including major projects like Apache MXNet and XGBoost.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DMLC (Distributed Machine Learning Community)
Target entity description: DMLC (Distributed Machine Learning Community) is an open-source collaborative group that develops scalable machine learning and deep learning systems and tools, including major projects like Apache MXNet and XGBoost.
  • A. MXNet
    MXNet is an open-source deep learning framework designed for efficient, scalable training and inference across multiple GPUs and distributed systems.
  • B. PaddlePaddle
    PaddlePaddle is an open-source deep learning platform developed by Baidu, designed for large-scale distributed training and deployment of neural networks.
  • C. Microsoft Cognitive Toolkit
    Microsoft Cognitive Toolkit (CNTK) is an open-source deep learning framework developed by Microsoft for building, training, and deploying neural networks at scale.
  • D. TensorFlow
    TensorFlow is an open-source, end-to-end machine learning and deep learning framework widely used for building, training, and deploying neural network models at scale.
  • E. NVIDIA RAPIDS
    NVIDIA RAPIDS is an open-source suite of GPU-accelerated data science and analytics libraries designed to speed up end-to-end machine learning and data processing workflows.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previouslyDevelopedBy
Context triple: [MXNet, previouslyDevelopedBy, DMLC (Distributed Machine Learning Community)]
  • A. formerlyDevelopedBy chosen
    Indicates that an entity was developed in the past by another entity, but is no longer developed by that same party.
  • B. previouslyReleasedBy
    Indicates that an entity was released earlier in time by a particular agent or source.
  • C. wasLaterDevelopedBy
    Indicates that something (such as an idea, product, or work) was created or further developed at a later time by a specified agent or entity.
  • D. alsoDevelopedIn
    Indicates that something was additionally developed in another context, location, or environment beyond the primary one already specified.
  • E. isDevelopedBy
    Indicates that something (such as a product, project, or idea) is created, produced, or brought into existence through the work or effort of a particular developer or group of developers.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6d6dd48190a77c486337a58cb6 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a2d030c8190ada52e855bc9afc8 completed April 4, 2026, 10:01 p.m.
NEDg Description generation batch_69d18bf051448190aaa3a7198c23fd39 completed April 4, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69d18c8783f08190858681b51096fe56 completed April 4, 2026, 10:11 p.m.
PD Predicate disambiguation batch_69ccd5b5d40c8190850ad7a351445f32 completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:15 p.m.