Triple

T34594856
Position Surface form Disambiguated ID Type / Status
Subject Brett Cannon E888280 entity
Predicate hasOpenSourceProjects P152794 FINISHED
Object Python-related tools and libraries LITERAL FINISHED

How this triple was built (2 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: Python-related tools and libraries | Statement: [Brett Cannon, hasOpenSourceProjects, Python-related tools and libraries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOpenSourceProjects
Context triple: [Brett Cannon, hasOpenSourceProjects, Python-related tools and libraries]
  • A. usesOpenSource
    Indicates that an entity makes use of or incorporates open-source software, tools, or components.
  • B. openSourceProject
    Indicates that the subject is a software project whose source code is publicly available and can be used, modified, and redistributed under an open-source license.
  • C. hasNotableProject
    Indicates that an entity is associated with a project that is distinguished or recognized as significant in some way.
  • D. hasProgrammingContribution chosen
    Indicates that an entity has made a contribution to the development, improvement, or maintenance of a programming-related artifact, project, or activity.
  • E. hasPetProject
    Indicates that an entity has a personal, often self-initiated project to which they are especially dedicated or attached.
  • F. None of above.

Provenance (3 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_69f349d3bfcc81909874c99e646fb3ea completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fcab6e888881908ca9e18660928a40 completed May 7, 2026, 3:10 p.m.
PD Predicate disambiguation batch_69fc4562a5b88190bad48f083a6dcdfa completed May 7, 2026, 7:55 a.m.
Created at: May 1, 2026, 2:03 a.m.