Triple

T19892595
Position Surface form Disambiguated ID Type / Status
Subject Milano cookies E478068 entity
Predicate hasType P0 FINISHED
Object Pepperidge Farm Milano Slices 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: Pepperidge Farm Milano Slices | Statement: [Milano cookies, hasType, Pepperidge Farm Milano Slices]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pepperidge Farm Milano Slices
Context triple: [Milano cookies, hasType, Pepperidge Farm Milano Slices]
  • A. Pepperidge Farm chosen
    Pepperidge Farm is an American food company best known for its cookies, crackers, and baked goods such as Milano cookies and Goldfish crackers.
  • B. Triscuit
    Triscuit is a popular American brand of baked whole-grain wheat crackers known for their woven texture and simple ingredients.
  • C. Pillsbury Crescents
    Pillsbury Crescents are a popular refrigerated crescent roll dough product known for their flaky texture and convenience in baking.
  • D. Wonder Bread
    Wonder Bread is a long-standing American brand of soft, sliced white bread known for its colorful packaging and association with classic supermarket loaves.
  • E. Cornetto
    Cornetto is a popular global ice cream brand best known for its cone-shaped frozen desserts filled with ice cream, chocolate, and nuts.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6590ed7988190bc6b610d1f4fa194 completed April 20, 2026, 4:49 p.m.
Created at: April 10, 2026, 1:52 p.m.