Triple

T12451656
Position Surface form Disambiguated ID Type / Status
Subject ULVR E297546 entity
Predicate associatedWithBrandPortfolio P99659 FINISHED
Object Hellmann’s E59354 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: Hellmann’s | Statement: [ULVR, associatedWithBrandPortfolio, Hellmann’s]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellmann’s
Context triple: [ULVR, associatedWithBrandPortfolio, Hellmann’s]
  • A. Hellmann chosen
    Hellmann is a common surname and brand name, most notably associated with the international mayonnaise and condiments brand.
  • B. Heinz
    Heinz is a historic American food processing company best known for its ketchup and other condiments.
  • C. Heinz
    Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
  • D. Smuckers
    "Smuckers" is a track from Tyler, The Creator’s 2015 album *Cherry Bomb*, featuring high-profile guest verses and known for its aggressive production and lyrical bravado.
  • E. Pepperidge Farm
    Pepperidge Farm is an American food company best known for its cookies, crackers, and baked goods such as Milano cookies and Goldfish crackers.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541ace208190a5149b6f18fa196d completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f16e87c8190b7e9f61561ae865a completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:56 p.m.