Triple

T8510277
Position Surface form Disambiguated ID Type / Status
Subject Tony O'Reilly E201434 entity
Predicate employer P7 FINISHED
Object H. J. Heinz Company E364396 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: H. J. Heinz Company | Statement: [Tony O'Reilly, employer, H. J. Heinz Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: H. J. Heinz Company
Context triple: [Tony O'Reilly, employer, H. J. Heinz Company]
  • A. Heinz chosen
    Heinz is a historic American food processing company best known for its ketchup and other condiments.
  • B. Heinz
    Heinz is the German given name of Henry Alfred Kissinger, the influential American diplomat and former U.S. Secretary of State.
  • C. Campbell Soup Company
    Campbell Soup Company is a major American food manufacturer best known for its canned soups and iconic red-and-white branding.
  • D. Kraft Foods
    Kraft Foods is a major American food and beverage company known for producing a wide range of packaged grocery products and iconic brands such as Kraft cheese and Oscar Mayer.
  • E. Champion Foods
    Champion Foods is a food manufacturing and distribution company owned by Ilitch Holdings, known for producing private-label and branded food products, particularly in the pizza and snack categories.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5e0cb1881909d1ff6ee9b3a65cc completed March 31, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d2eef208190b505a64d01f656f4 completed April 2, 2026, 1:20 p.m.
Created at: March 30, 2026, 6:15 p.m.