Triple

T17411085
Position Surface form Disambiguated ID Type / Status
Subject Under the Radar: How Red Hat Changed the Software Business and Took Microsoft by Surprise E423361 entity
Predicate mainSubject P3 FINISHED
Object Red Hat 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: Red Hat | Statement: [Under the Radar: How Red Hat Changed the Software Business and Took Microsoft by Surprise, mainSubject, Red Hat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Hat
Context triple: [Under the Radar: How Red Hat Changed the Software Business and Took Microsoft by Surprise, mainSubject, Red Hat]
  • A. Red Hat chosen
    Red Hat is a leading American open-source software company best known for its enterprise Linux distribution and related cloud and middleware solutions.
  • B. Red Hat Enterprise Linux
    Red Hat Enterprise Linux is a commercially supported, enterprise-grade Linux distribution widely used for servers, cloud deployments, and mission-critical applications.
  • C. SUSE
    SUSE is a German-based open-source software company best known for its enterprise Linux distributions and related infrastructure solutions.
  • D. Azul Systems
    Azul Systems is a software company specializing in high-performance, scalable Java runtimes and JVM technologies for enterprise applications.
  • E. Novell
    Novell was a prominent software company best known for its NetWare network operating system and contributions to enterprise networking and Linux technologies.
  • 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_69d889d7d27c819088486ce3f0627fa1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43b0a88e881909b2886bd90c92992 completed April 19, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:46 a.m.