Triple

T8285382
Position Surface form Disambiguated ID Type / Status
Subject Canonical Ltd. E193775 entity
Predicate knownFor P22 FINISHED
Object Snappy
Snappy is Canonical Ltd.'s software packaging and deployment system designed for secure, containerized applications across Linux-based platforms.
 E724141 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: Snappy | Statement: [Canonical Ltd., knownFor, Snappy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Snappy
Context triple: [Canonical Ltd., knownFor, Snappy]
  • A. Sharp
    Sharp is a Japanese electronics manufacturer best known for producing consumer devices such as mobile phones, televisions, and display technologies.
  • B. Sharp
    Sharp is a common English surname borne by numerous notable individuals across politics, sports, academia, and the arts.
  • C. Snub
    Snub is the nickname of Snub Pollard, an Australian-born silent film comedian known for his work in early Hollywood slapstick comedies.
  • D. Quick
    Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
  • E. Slick
    Slick is the stage name of Ricky Bell, an American R&B singer best known as a member of New Edition and Bell Biv DeVoe.
  • 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: Snappy
Triple: [Canonical Ltd., knownFor, Snappy]
Generated description
Snappy is Canonical Ltd.'s software packaging and deployment system designed for secure, containerized applications across Linux-based platforms.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Snappy
Target entity description: Snappy is Canonical Ltd.'s software packaging and deployment system designed for secure, containerized applications across Linux-based platforms.
  • A. Sharp
    Sharp is a Japanese electronics manufacturer best known for producing consumer devices such as mobile phones, televisions, and display technologies.
  • B. Sharp
    Sharp is a common English surname borne by numerous notable individuals across politics, sports, academia, and the arts.
  • C. Snub
    Snub is the nickname of Snub Pollard, an Australian-born silent film comedian known for his work in early Hollywood slapstick comedies.
  • D. Quick
    Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
  • E. Slick
    Slick is the stage name of Ricky Bell, an American R&B singer best known as a member of New Edition and Bell Biv DeVoe.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad20ae481908179aba245c73fad completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd687e64a08190a45a1cf5f5c32291 completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d55196881909cf5ec925792e09f completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e2bdae08190adc51e904e85695e completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:52 p.m.