Triple

T14539208
Position Surface form Disambiguated ID Type / Status
Subject Bryan Cantrill E341124 entity
Predicate notableWork P4 FINISHED
Object Joyent SmartOS E554834 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: Joyent SmartOS | Statement: [Bryan Cantrill, notableWork, Joyent SmartOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joyent SmartOS
Context triple: [Bryan Cantrill, notableWork, Joyent SmartOS]
  • A. Joyent
    Joyent is a cloud computing and hosting company known for its role in developing and supporting scalable server-side technologies, including the early development of Node.js.
  • B. SmartOS operating system chosen
    SmartOS is an open-source, Illumos-based operating system developed by Joyent, designed for high-performance virtualization and cloud computing with features like Zones containers and ZFS.
  • C. Illumos
    Illumos is an open-source Unix operating system derived from OpenSolaris, widely used as a foundation for advanced server, cloud, and storage platforms.
  • D. Loudcloud
    Loudcloud was a pioneering early-2000s cloud and managed hosting company co-founded by Marc Andreessen that later evolved into the software firm Opsware.
  • E. Azul Systems
    Azul Systems is a software company specializing in high-performance, scalable Java runtimes and JVM technologies for enterprise applications.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1bd0dd4819094c8b2f2aa6b1c5e completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5cca788190aa8762d860c78721 completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:22 a.m.