Triple

T6278359
Position Surface form Disambiguated ID Type / Status
Subject Cannon E140717 entity
Predicate hasVariant P455 FINISHED
Object Canon E567300 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: Canon | Statement: [Cannon, hasVariant, Canon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canon
Context triple: [Cannon, hasVariant, Canon]
  • A. Canon chosen
    Canon is a structured set of hymns or chants used in Eastern Christian liturgical services, particularly within the Orthodox tradition.
  • B. Canon PIXMA
    Canon PIXMA is a line of consumer and small-office inkjet printers from Canon known for combining high-quality photo printing with versatile document printing and scanning features.
  • C. Kodak printers
    Kodak printers are consumer and professional printing devices produced under the Kodak brand, known for their photo-printing capabilities and integration with Kodak imaging technologies.
  • D. Canon EOS
    Canon EOS is a popular line of Canon digital single-lens reflex and mirrorless cameras widely used by both enthusiasts and professional photographers.
  • E. Canon C1
    Canon C1 is a specific ecclesiastical regulation within the canons of the Church of England that outlines duties and standards for clergy.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063daec108190859d1d5dbafd5b42 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5194e9b3881908188f004c4a03a09 completed March 26, 2026, 11:32 a.m.
Created at: March 22, 2026, 4:26 p.m.