Triple

T15103492
Position Surface form Disambiguated ID Type / Status
Subject Cédric Champeau E360727 entity
Predicate notableWork P4 FINISHED
Object Groovy compiler improvements E72230 NE 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: Groovy compiler improvements | Statement: [Cédric Champeau, notableWork, Groovy compiler improvements]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Groovy compiler improvements
Context triple: [Cédric Champeau, notableWork, Groovy compiler improvements]
  • A. Groovy chosen
    Groovy is a dynamic, optionally-typed programming language for the Java platform that enhances Java with concise syntax, scripting capabilities, and powerful metaprogramming features.
  • B. Grailsware
    Grailsware is a software development company known for its early involvement in and contributions to the Grails web application framework.
  • C. Grails Foundation
    The Grails Foundation is an organization dedicated to supporting, maintaining, and promoting the Grails web application framework and its community.
  • D. Grails framework
    Grails framework is a high-productivity, convention-over-configuration web application framework for the JVM that leverages the Groovy language and integrates tightly with the Spring ecosystem.
  • E. SPARK language toolset
    SPARK language toolset is a formally verifiable subset and toolchain for the Ada programming language designed to enable high-assurance, safety- and security-critical software development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae274f6881908931569efc09996e completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:05 a.m.