Triple

T16675486
Position Surface form Disambiguated ID Type / Status
Subject Tinderbox E405205 entity
Predicate hasTrack P3284 FINISHED
Object Cannons E728368 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: Cannons | Statement: [Tinderbox, hasTrack, Cannons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cannons
Context triple: [Tinderbox, hasTrack, Cannons]
  • A. Cannons chosen
    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.
  • B. Cannon
    "Cannon" is a 1970s American television crime drama series centered on the cases of a tough, overweight private detective named Frank Cannon.
  • C. Cannon
    Cannon is a common English surname borne by various notable individuals across entertainment, sports, and public life.
  • D. Cannon
    Cannon is a historic American textile and home goods brand best known for its towels, bedding, and other household linens.
  • E. 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.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6a1960819098c5e3385693a87a completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3ab8b481908b333b6a556a58d5 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.