Triple

T15369975
Position Surface form Disambiguated ID Type / Status
Subject Pillsbury Company E367519 entity
Predicate alsoKnownAs P39 FINISHED
Object Pillsbury E367519 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: Pillsbury | Statement: [Pillsbury Company, alsoKnownAs, Pillsbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pillsbury
Context triple: [Pillsbury Company, alsoKnownAs, Pillsbury]
  • A. Pillsbury Company chosen
    Pillsbury Company is a major American food company best known for its packaged baking products, refrigerated doughs, and iconic Doughboy mascot.
  • B. Fleischmann
    Fleischmann is a German-language surname borne by various notable individuals across fields such as music, science, and the arts.
  • C. Pepperidge Farm
    Pepperidge Farm is an American food company best known for its cookies, crackers, and baked goods such as Milano cookies and Goldfish crackers.
  • D. Quaker Oats
    Quaker Oats is a well-known American food brand specializing in oatmeal and other grain-based products.
  • E. Pillsbury Crescents
    Pillsbury Crescents are a popular refrigerated crescent roll dough product known for their flaky texture and convenience in baking.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e4b88a881909f9575c02aed287d completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13457418819088232270b092c969 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:18 a.m.