Triple

T9411358
Position Surface form Disambiguated ID Type / Status
Subject Joseph Gurney Cannon E226714 entity
Predicate familyName P18 FINISHED
Object Cannon E140717 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: Cannon | Statement: [Joseph Gurney Cannon, familyName, Cannon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cannon
Context triple: [Joseph Gurney Cannon, familyName, Cannon]
  • A. Cannon
    Cannon is a historic American textile and home goods brand best known for its towels, bedding, and other household linens.
  • B. Cannon chosen
    Cannon is a common English surname borne by various notable individuals across entertainment, sports, and public life.
  • C. The Cannon
    The Cannon is the ring nickname of Shannon Briggs, an American heavyweight boxer and former world champion known for his punching power and outspoken personality.
  • D. Cannons
    Cannons was the lavish early-18th-century English country house and estate built for James Brydges, 1st Duke of Chandos, renowned for its opulence and association with composer George Frideric Handel.
  • E. Fussilat
    Fussilat is the 41st chapter of the Qur’an, known for its detailed exposition of divine revelation, signs in creation, and the consequences of accepting or rejecting the message.
  • 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_69ca843280488190bc65600e843ef9e6 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd525785d48190a76c9940712e093a completed April 1, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107ab67808190a9184c0e8c2e727f completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:47 p.m.