Triple

T3823815
Position Surface form Disambiguated ID Type / Status
Subject Mr. Coffee E88636 entity
Predicate hasCompetitor P1375 FINISHED
Object Cuisinart E391051 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: Cuisinart | Statement: [Mr. Coffee, hasCompetitor, Cuisinart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuisinart
Context triple: [Mr. Coffee, hasCompetitor, Cuisinart]
  • A. Cuisinart chosen
    Cuisinart is a well-known American brand specializing in kitchen appliances and cookware, particularly recognized for popularizing the home food processor.
  • B. Calphalon
    Calphalon is a cookware and kitchenware brand known for its durable, high-performance pots, pans, and bakeware commonly used in home and professional kitchens.
  • C. Gaggenau
    Gaggenau is a town in the state of Baden-Württemberg in southwestern Germany, located in the Murg Valley near the Black Forest.
  • D. Hamilton Beach
    Hamilton Beach is an American brand best known for manufacturing household appliances such as blenders, coffee makers, and other small kitchen devices.
  • E. Hamilton Beach
    Hamilton Beach is a small residential neighborhood in the Howard Beach area of Queens, New York City, known for its waterfront location and proximity to Jamaica Bay.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb6223808190aee0c15259eeeecd completed March 9, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503f75f6c8190b9af77ed212a2774 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:17 p.m.