Triple

T19892649
Position Surface form Disambiguated ID Type / Status
Subject Goldfish crackers E478069 entity
Predicate hasVariant P455 FINISHED
Object Goldfish Whole Grain 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: Goldfish Whole Grain | Statement: [Goldfish crackers, hasVariant, Goldfish Whole Grain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goldfish Whole Grain
Context triple: [Goldfish crackers, hasVariant, Goldfish Whole Grain]
  • A. Goldfish
    Goldfish is a popular snack brand best known for its small, fish-shaped crackers often marketed toward children.
  • B. Goldfish crackers chosen
    Goldfish crackers are small, fish-shaped baked snack crackers popular for their cheesy flavor and marketed primarily as a kid-friendly snack.
  • C. AquaBest
    AquaBest is a recreational lake and leisure park in the Netherlands known for swimming, water sports, and outdoor events.
  • D. Golden Sardine
    Golden Sardine is a poetry collection by Beat poet Bob Kaufman, noted for its surreal imagery and jazz-influenced, improvisational style.
  • E. Mini-Wheats
    Mini-Wheats is a popular Kellogg’s breakfast cereal made of frosted whole wheat biscuits known for their high fiber content and sweet coating.
  • 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.