Triple

T20935540
Position Surface form Disambiguated ID Type / Status
Subject Dennis Lee E515573 entity
Predicate notableWork P4 FINISHED
Object Jelly Belly 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: Jelly Belly | Statement: [Dennis Lee, notableWork, Jelly Belly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jelly Belly
Context triple: [Dennis Lee, notableWork, Jelly Belly]
  • A. Jelly Belly Candy Company chosen
    Jelly Belly Candy Company is an American confectionery manufacturer best known for its gourmet jelly beans and other candies sold worldwide.
  • B. Nutkins
    Nutkins is the surname of Terry Nutkins, a well-known British naturalist and television presenter.
  • C. Trolli
    Trolli is a confectionery brand best known for its colorful and quirky gummy candies, including gummy worms and other playful shapes.
  • D. Candy-O
    Candy-O is the second studio album by American rock band The Cars, known for its sleek new wave sound and iconic Vargas cover art.
  • E. See's Candies
    See's Candies is a classic American confectionery company known for its boxed chocolates and sweets, founded in 1921 and widely sold through its retail shops and mail-order business.
  • 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_69e0b4fc13408190b06868df03c5c29b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f950d5e081908ec0df4824cf69f7 completed April 21, 2026, 4:13 a.m.
Created at: April 16, 2026, 12:49 p.m.