Triple

T3824267
Position Surface form Disambiguated ID Type / Status
Subject Jarden Corporation E88647 entity
Predicate ownsBrand P1500 FINISHED
Object Mr. Coffee E88636 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: Mr. Coffee | Statement: [Jarden Corporation, ownsBrand, Mr. Coffee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Coffee
Context triple: [Jarden Corporation, ownsBrand, Mr. Coffee]
  • A. Mr. Coffee chosen
    Mr. Coffee is a popular American brand best known for its automatic drip coffee makers and related coffee appliances for home use.
  • B. Faema
    Faema was a prominent professional Italian cycling team of the 1950s and 1960s, best known for sponsoring and supporting legendary riders such as Eddy Merckx.
  • C. The Bean
    The Bean is a famous stainless steel public sculpture by artist Anish Kapoor located in Chicago’s Millennium Park, renowned for its highly polished, reflective surface and iconic, bean-like shape.
  • D. Nespresso
    Nespresso is a premium coffee brand known for its single-serve espresso machines and coffee capsules marketed worldwide.
  • E. Telecafé
    Telecafé is the revolving restaurant located in Berlin’s iconic TV Tower, offering panoramic views over the city.
  • 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_69b503f9df8c8190b42c544e827d6c76 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:17 p.m.