Triple

T2600728
Position Surface form Disambiguated ID Type / Status
Subject Jerry Baldwin E58335 entity
Predicate notableWork P4 FINISHED
Object Starbucks E7139 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: Starbucks | Statement: [Jerry Baldwin, notableWork, Starbucks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Starbucks
Context triple: [Jerry Baldwin, notableWork, Starbucks]
  • A. Starbucks chosen
    Starbucks is a global coffeehouse chain and coffee roastery brand known for its specialty coffee drinks and widespread presence in cities around the world.
  • B. Dunkin'
    Dunkin' is a major American coffee and baked goods chain best known for its donuts and wide variety of coffee beverages.
  • C. Starbuck
    Starbuck is the morally conscientious first mate of the whaling ship Pequod in Herman Melville’s novel "Moby-Dick," serving as a cautious and ethical counterpoint to Captain Ahab’s obsessive quest.
  • 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. 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.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd4587014819089f78e93adf2144c completed March 7, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055b28ad88190a9fafc15871afa5f completed March 10, 2026, 5:32 p.m.
Created at: March 6, 2026, 9:49 p.m.