Triple

T18205241
Position Surface form Disambiguated ID Type / Status
Subject HuBERT E435884 entity
Predicate relatedTo P37 FINISHED
Object Data2Vec NE NERFINISHED

How this triple was built (3 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: Data2Vec | Statement: [HuBERT, relatedTo, Data2Vec]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Data2Vec
Context triple: [HuBERT, relatedTo, Data2Vec]
  • A. Turi Create
    Turi Create is an open-source Python library from Apple that simplifies building, training, and deploying machine learning models, especially for use with Apple’s Core ML framework.
  • B. NeuVector
    NeuVector is a Kubernetes-native container security platform that provides real-time network visibility, threat detection, and runtime protection for cloud-native applications.
  • C. Create ML
    Create ML is Apple's machine learning tool that lets developers easily build and train models directly on macOS using simple, user-friendly interfaces.
  • D. Data
    Data is an android Starfleet officer in Star Trek: The Next Generation, known for his quest to understand humanity and develop emotions.
  • E. Data
    Data is a clever, gadget-obsessed member of the kids' adventure group in the 1985 film "The Goonies," known for using his homemade inventions to help his friends.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Data2Vec
Target entity description: Data2Vec is a self-supervised learning framework developed by Meta AI that learns unified contextual representations across modalities such as speech, vision, and text.
  • A. Turi Create
    Turi Create is an open-source Python library from Apple that simplifies building, training, and deploying machine learning models, especially for use with Apple’s Core ML framework.
  • B. NeuVector
    NeuVector is a Kubernetes-native container security platform that provides real-time network visibility, threat detection, and runtime protection for cloud-native applications.
  • C. Create ML
    Create ML is Apple's machine learning tool that lets developers easily build and train models directly on macOS using simple, user-friendly interfaces.
  • D. Data
    Data is an android Starfleet officer in Star Trek: The Next Generation, known for his quest to understand humanity and develop emotions.
  • E. Data
    Data is a clever, gadget-obsessed member of the kids' adventure group in the 1985 film "The Goonies," known for using his homemade inventions to help his friends.
  • F. None of above. chosen

Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.