Triple

T2321084
Position Surface form Disambiguated ID Type / Status
Subject Matthew Garrett E51180 entity
Predicate hasEmployer P7 FINISHED
Object Canonical
Canonical is a UK-based software company best known as the publisher and commercial sponsor of the Ubuntu operating system.
E256166 NE FINISHED

How this triple was built (4 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: Canonical | Statement: [Matthew Garrett, hasEmployer, Canonical]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canonical
Context triple: [Matthew Garrett, hasEmployer, Canonical]
  • A. CW
    CW is the two-letter ISO 3166-1 alpha-2 country code assigned to Curaçao.
  • B. CW
    CW is a postcode area in the United Kingdom covering Crewe and surrounding parts of Cheshire.
  • C. Kannon
    Kannon is the Japanese name for the bodhisattva of compassion, derived from the Buddhist deity Avalokiteshvara and widely venerated in Japan.
  • D. Carrier
    Carrier is a leading global brand specializing in heating, ventilation, air conditioning (HVAC), and refrigeration solutions.
  • E. Nexus
    Nexus is the original World Wide Web browser and editor created by Tim Berners-Lee, later renamed from its initial title "WorldWideWeb."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Canonical
Triple: [Matthew Garrett, hasEmployer, Canonical]
Generated description
Canonical is a UK-based software company best known as the publisher and commercial sponsor of the Ubuntu operating system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Canonical
Target entity description: Canonical is a UK-based software company best known as the publisher and commercial sponsor of the Ubuntu operating system.
  • A. CW
    CW is the two-letter ISO 3166-1 alpha-2 country code assigned to Curaçao.
  • B. CW
    CW is a postcode area in the United Kingdom covering Crewe and surrounding parts of Cheshire.
  • C. Kannon
    Kannon is the Japanese name for the bodhisattva of compassion, derived from the Buddhist deity Avalokiteshvara and widely venerated in Japan.
  • D. Carrier
    Carrier is a leading global brand specializing in heating, ventilation, air conditioning (HVAC), and refrigeration solutions.
  • E. Nexus
    Nexus is the original World Wide Web browser and editor created by Tim Berners-Lee, later renamed from its initial title "WorldWideWeb."
  • F. None of above. chosen

Provenance (5 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc632474c8190972b4611a3a4ff8f completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae896911908190b53954dbf854cc18 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8d2dcc8081908d4274b2287ff2b8 completed March 9, 2026, 9:04 a.m.
NED2 Entity disambiguation (via description) batch_69ae8d786a648190acf0a14e0d4a120c completed March 9, 2026, 9:06 a.m.
Created at: March 4, 2026, 7:49 p.m.