Triple

T18905980
Position Surface form Disambiguated ID Type / Status
Subject F. Ross Johnson E462463 entity
Predicate employer P7 FINISHED
Object Nabisco Brands 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: Nabisco Brands | Statement: [F. Ross Johnson, employer, Nabisco Brands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nabisco Brands
Context triple: [F. Ross Johnson, employer, Nabisco Brands]
  • A. Nabisco chosen
    Nabisco is a major American snack food company best known for iconic brands like Oreo cookies and Ritz crackers.
  • B. Conagra Brands
    Conagra Brands is a major American packaged foods company known for its wide portfolio of grocery and frozen food brands sold in supermarkets and restaurants.
  • C. 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.
  • D. 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.
  • E. Mondelez International
    Mondelez International is a global snack and confectionery company known for brands like Oreo, Cadbury, and Toblerone.
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c52cc9cc8190ac489d36e51693c8 completed April 20, 2026, 6:18 a.m.
Created at: April 10, 2026, 11:58 a.m.