Triple

T21219873
Position Surface form Disambiguated ID Type / Status
Subject Peet’s Theatre E522935 entity
Predicate namedAfter P63 FINISHED
Object Peet’s Coffee 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: Peet’s Coffee | Statement: [Peet’s Theatre, namedAfter, Peet’s Coffee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peet’s Coffee
Context triple: [Peet’s Theatre, namedAfter, Peet’s Coffee]
  • A. Seattle’s Best Coffee
    Seattle’s Best Coffee is a U.S.-based coffee retailer and brand known for its approachable, smooth coffee offerings and ownership by Starbucks.
  • B. Starbucks
    Starbucks is a global coffeehouse chain and coffee roastery brand known for its specialty coffee drinks and widespread presence in cities around the world.
  • C. Maxwell House
    Maxwell House is a long-standing American coffee brand known for its mass-market ground and instant coffees and the slogan "Good to the last drop."
  • D. Costa Coffee
    Costa Coffee is a major British coffeehouse chain known for its espresso-based drinks and café-style food, operating thousands of outlets worldwide.
  • E. Peet's Coffee original store chosen
    Peet's Coffee original store is the pioneering Berkeley café where specialty coffee culture in the United States first took root in the late 1960s.
  • 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_69e0b511ed84819099b449b4a111085c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73476d93481909c6c99dcc0b16123 completed April 21, 2026, 8:25 a.m.
Created at: April 16, 2026, 3:43 p.m.