Triple

T17579814
Position Surface form Disambiguated ID Type / Status
Subject Henry John Heinz II E428170 entity
Predicate associatedWith P37 FINISHED
Object Heinz brand NE NERFINISHED

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: Heinz brand | Statement: [Henry John Heinz II, associatedWith, Heinz brand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heinz brand
Context triple: [Henry John Heinz II, associatedWith, Heinz brand]
  • A. Heinz
    Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
  • B. Heinz chosen
    Heinz is a historic American food processing company best known for its ketchup and other condiments.
  • C. Heinz Boxes
    Heinz Boxes is an artwork by Andy Warhol that, like his Brillo Boxes, consists of painted wooden replicas of commercial Heinz packaging, exploring themes of consumerism and mass production in art.
  • D. Kraft
    Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
  • E. Knorr
    Knorr is a global food brand known for its soups, seasonings, bouillon, and ready-made meal products.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cc493c8190965680cf786aa531 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.