Triple

T3245441
Position Surface form Disambiguated ID Type / Status
Subject DTrace E68056 entity
Predicate operatingSystemSupport P1593 FINISHED
Object Illumos E68039 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: Illumos | Statement: [DTrace, operatingSystemSupport, Illumos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Illumos
Context triple: [DTrace, operatingSystemSupport, Illumos]
  • A. Solaris operating system chosen
    Solaris operating system is a Unix-based enterprise operating system known for its scalability, robustness, and advanced features such as ZFS, DTrace, and strong support for SPARC and x86 architectures.
  • B. Orbis OS
    Orbis OS is Sony's customized operating system for the PlayStation 4, built on a modified version of FreeBSD to power the console's gaming and multimedia features.
  • C. Solaris
    Solaris is a 1972 Soviet science fiction film by Andrei Tarkovsky that explores memory, grief, and human consciousness aboard a space station orbiting a mysterious planet.
  • D. Xen
    Xen is an open-source type-1 hypervisor that enables efficient virtualization of multiple operating systems on the same physical hardware.
  • E. LynxOS
    LynxOS is a real-time, POSIX-compliant operating system designed for embedded and mission-critical applications, particularly in aerospace, defense, and industrial systems.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf1982448190b3d60c9e4471421f completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2775f76988190bfaaaabce63f6f6b completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:09 p.m.