Triple

T4425149
Position Surface form Disambiguated ID Type / Status
Subject RLlib E95190 entity
Predicate developedOnTopOf P41583 FINISHED
Object Ray
Ray is an open-source distributed computing framework designed to scale Python applications for tasks like machine learning, reinforcement learning, and data processing across clusters.
E438345 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: Ray | Statement: [RLlib, developedOnTopOf, Ray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray
Context triple: [RLlib, developedOnTopOf, Ray]
  • A. Ray
    Ray is a masculine given name commonly used in English-speaking countries, often as a short form of Raymond.
  • B. Ray
    "Ray" is a 2004 biographical film about the life and music of legendary rhythm and blues musician Ray Charles.
  • C. Ray
    Ray is an ancient city near modern-day Tehran in Iran that served as a significant political and cultural center in various Persian empires.
  • D. Rod
    Rod is the nickname of Roderick Langway, a former professional ice hockey defenseman and Hockey Hall of Famer best known for his time with the Washington Capitals.
  • E. Rob
    Rob is a common shortened form of the given name Robert, frequently used as an informal or familiar first name.
  • 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: Ray
Triple: [RLlib, developedOnTopOf, Ray]
Generated description
Ray is an open-source distributed computing framework designed to scale Python applications for tasks like machine learning, reinforcement learning, and data processing across clusters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ray
Target entity description: Ray is an open-source distributed computing framework designed to scale Python applications for tasks like machine learning, reinforcement learning, and data processing across clusters.
  • A. Ray
    Ray is a masculine given name commonly used in English-speaking countries, often as a short form of Raymond.
  • B. Ray
    "Ray" is a 2004 biographical film about the life and music of legendary rhythm and blues musician Ray Charles.
  • C. Ray
    Ray is an ancient city near modern-day Tehran in Iran that served as a significant political and cultural center in various Persian empires.
  • D. Rod
    Rod is the nickname of Roderick Langway, a former professional ice hockey defenseman and Hockey Hall of Famer best known for his time with the Washington Capitals.
  • E. Rob
    Rob is a common shortened form of the given name Robert, frequently used as an informal or familiar first name.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: developedOnTopOf
Context triple: [RLlib, developedOnTopOf, Ray]
  • A. developedOn chosen
    Indicates that something was created, built, or produced using a particular platform, technology, or environment.
  • B. developedUnder
    Indicates that something was created, produced, or brought into existence while being subject to the authority, guidance, or conditions imposed by a particular person, organization, regime, or framework.
  • C. developedWith
    Indicates that something was created, built, or produced using a specified tool, technology, method, or collaborator.
  • D. developedAs
    Indicates that one entity was created, designed, or evolved specifically to function as or replace another entity.
  • E. developedAsPartOf
    Indicates that something was created, produced, or evolved as a component or subset of a larger project, system, or initiative.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554e40ec8190982acc0948da2f42 completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f633a69c8190b062c2a78b0f8319 completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f6bcfa0481909d07ffb2a975a350 completed March 15, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_69b5f733c660819081c68dc3ec342e12 completed March 15, 2026, 12:02 a.m.
PD Predicate disambiguation batch_69b34f5eabe88190a12b244ea71e46d6 completed March 12, 2026, 11:42 p.m.
Created at: March 12, 2026, 11:30 p.m.