Triple

T17674479
Position Surface form Disambiguated ID Type / Status
Subject YARV virtual machine E440610 entity
Predicate contributor P1993 FINISHED
Object Ruby core team NE NERFINISHED

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: Ruby core team | Statement: [YARV virtual machine, contributor, Ruby core team]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruby core team
Context triple: [YARV virtual machine, contributor, Ruby core team]
  • A. Ruby core team chosen
    The Ruby core team is the group of developers responsible for maintaining and evolving the official Ruby programming language implementation and its core features.
  • B. RSpec core team
    The RSpec core team is the group of maintainers responsible for developing and overseeing the core components of the RSpec testing framework for Ruby.
  • C. Ruby Port
    Ruby Port is a young, fruit-forward fortified wine from Portugal’s Douro Valley, typically deep red in color and aged briefly in large casks to preserve its vibrant character.
  • D. Hanami core team
    The Hanami core team is the group of developers responsible for designing, building, and maintaining the Hanami Ruby web framework and its core components.
  • E. Python core developers
    Python core developers are the group of trusted contributors responsible for designing, implementing, and maintaining the official Python language and its reference implementation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6ba22081909e2099490c047378 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10 a.m.