Triple

T12490360
Position Surface form Disambiguated ID Type / Status
Subject Hellman family E298544 entity
Predicate hasVariantSpelling P457 FINISHED
Object Hellmann 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 | Statement: [Hellman family, hasVariantSpelling, Hellmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hellmann
Context triple: [Hellman family, hasVariantSpelling, Hellmann]
  • A. Hellmann chosen
    Hellmann is a common surname and brand name, most notably associated with the international mayonnaise and condiments brand.
  • B. Dr. Oetker
    Dr. Oetker is a German multinational food company best known for its baking products, desserts, frozen pizzas, and other convenience foods.
  • C. Heinz
    Heinz is a historic American food processing company best known for its ketchup and other condiments.
  • D. Heinz
    Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
  • E. Kraft
    Kraft is a prominent American surname most widely associated with billionaire businessman and New England Patriots owner Robert Kraft.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de1db9481909ddf70eb81cdb714 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556e9180819084ddb984754b0b54 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:56 p.m.