Triple

T4830064
Position Surface form Disambiguated ID Type / Status
Subject Campbell Soup Company E107922 entity
Predicate brandPortfolioIncludes P18121 FINISHED
Object Swanson E107925 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: Swanson | Statement: [Campbell Soup Company, brandPortfolioIncludes, Swanson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swanson
Context triple: [Campbell Soup Company, brandPortfolioIncludes, Swanson]
  • A. Swanson chosen
    Swanson is a well-known American food brand recognized for its canned broths, stocks, and frozen meals.
  • B. Carlson
    Carlson is a common surname of Scandinavian origin borne by numerous notable individuals across fields such as sports, politics, and entertainment.
  • C. Jarrow
    Jarrow is a historic town in northeast England known for its early medieval monastery and association with the scholar Venerable Bede.
  • D. Cambridge Naturals
    Cambridge Naturals is a local health and wellness retailer known for offering natural foods, supplements, and eco-friendly personal care products.
  • E. Inman
    Inman is the introspective Confederate deserter and central protagonist of the film "Cold Mountain," portrayed by Jude Law as he journeys home through the ravages of the American Civil War.
  • 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cc66c488190a49052e32411dc4b completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dd0bf7c8190a11065bb61def18e completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.