Triple

T16098474
Position Surface form Disambiguated ID Type / Status
Subject Shirley Feeney E390548 entity
Predicate employer P7 FINISHED
Object Shotz Brewery E390555 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: Shotz Brewery | Statement: [Shirley Feeney, employer, Shotz Brewery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shotz Brewery
Context triple: [Shirley Feeney, employer, Shotz Brewery]
  • A. Shotz Brewery chosen
    Shotz Brewery is the fictional Milwaukee beer factory where the main characters work in the classic American sitcom "Laverne & Shirley."
  • B. Schell’s Brewery
    Schell’s Brewery is a historic, family-owned brewery in New Ulm, Minnesota, known as one of the oldest continuously operating breweries in the United States.
  • C. Litovel Brewery
    Litovel Brewery is a Czech brewery renowned for its traditional lagers and other beers produced in the town of Litovel in the Olomouc Region.
  • D. Christian Heurich Brewing Company
    The Christian Heurich Brewing Company was a prominent historic brewery in Washington, D.C., once one of the largest and most successful breweries in the United States.
  • E. Schaefer Brewing Company
    Schaefer Brewing Company was a prominent American brewery best known for its Schaefer Beer brand and extensive sports and cultural sponsorships in the mid-20th century.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6551a48190afb7e0c61e22b541 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb9b3e708190be822f7ed588c9da completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:59 a.m.