Triple

T2952005
Position Surface form Disambiguated ID Type / Status
Subject See's Candies E79840 entity
Predicate brand P1500 FINISHED
Object See's E79840 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: See's | Statement: [See's Candies, brand, See's]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: See's
Context triple: [See's Candies, brand, See's]
  • A. See's Candies chosen
    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.
  • B. Ghirardelli Chocolate Company
    Ghirardelli Chocolate Company is a historic American chocolatier founded in San Francisco, renowned for its premium chocolate products and iconic presence in the city’s culinary culture.
  • 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. Nature's Valley
    Nature's Valley is a small coastal village in South Africa renowned for its unspoiled beaches, indigenous forests, and tranquil setting within the Garden Route.
  • E. Reser’s Fine Foods
    Reser’s Fine Foods is an American food company known for producing prepared salads, side dishes, and other refrigerated convenience foods for retail and foodservice markets.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98fcea5c8190b7d80de942bcb4f7 completed March 8, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc7edc808190863ec8f99efa3875 completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:57 p.m.