Triple

T20231901
Position Surface form Disambiguated ID Type / Status
Subject Baxters E495545 entity
Predicate hasBrand P1500 FINISHED
Object Baxters Chef Selections 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: Baxters Chef Selections | Statement: [Baxters, hasBrand, Baxters Chef Selections]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baxters Chef Selections
Context triple: [Baxters, hasBrand, Baxters Chef Selections]
  • A. Baxters chosen
    Baxters is a well-known Scottish food brand best recognized for its soups, preserves, and other packaged grocery products.
  • B. 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.
  • C. Baker’s
    Baker’s is a regional American supermarket chain known for offering a full range of groceries and household goods.
  • D. Blanco’s
    Blanco’s was the original name of the historic San Francisco concert venue now known as the Great American Music Hall.
  • E. Columbus Craft Meats
    Columbus Craft Meats is a premium deli and charcuterie brand known for its traditionally crafted salami and specialty meats.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fddafac819089cef4158f5e0ab5 completed April 20, 2026, 6:26 p.m.
Created at: April 11, 2026, 11:39 p.m.