Triple

T16956176
Position Surface form Disambiguated ID Type / Status
Subject Mead Johnson & Company E411307 entity
Predicate competitor P1375 FINISHED
Object Nestlé E27582 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: Nestlé | Statement: [Mead Johnson & Company, competitor, Nestlé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nestlé
Context triple: [Mead Johnson & Company, competitor, Nestlé]
  • A. Nestlé chosen
    Nestlé is a Swiss multinational food and beverage conglomerate and one of the world’s largest consumer goods companies.
  • B. Danone
    Danone is a multinational French food-products corporation best known for its dairy, plant-based, and bottled water brands.
  • C. Mondelez International
    Mondelez International is a global snack and confectionery company known for brands like Oreo, Cadbury, and Toblerone.
  • 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. Post Holdings
    Post Holdings is a U.S.-based consumer packaged goods holding company best known for owning and operating major breakfast cereal and food brands.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d01c7b408190b5a2b6c62b050b76 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d4666f14819095fc3bcf5e459b61 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.