Triple

T12885877
Position Surface form Disambiguated ID Type / Status
Subject John Singer E308222 entity
Predicate settingOfActivity P1957 FINISHED
Object New York Cafe E1009683 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: New York Cafe | Statement: [John Singer, settingOfActivity, New York Cafe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New York Cafe
Context triple: [John Singer, settingOfActivity, New York Cafe]
  • A. New York Café chosen
    New York Café is a well-known café that serves as a popular social and cultural gathering spot, attracting regular patrons such as musician Jake Blount.
  • B. Gaslight Cafe
    The Gaslight Cafe was a famed Greenwich Village coffeehouse and performance venue that became a central hub of the 1960s folk music revival in New York City.
  • C. Sunnyside Café
    Sunnyside Café is a themed dining venue located within the Toy Story Hotel, offering guests a playful, Pixar-inspired restaurant experience.
  • D. Contempo Café
    Contempo Café is a casual quick-service restaurant located inside Disney's Contemporary Resort at Walt Disney World, offering a variety of American fare in a modern, family-friendly setting.
  • E. Lou's Cafe
    Lou's Cafe is a classic 1950s-style diner in the fictional town of Hill Valley, best known as a key setting in the "Back to the Future" film series.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714415c08190aa9944b494a3ddad completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0e54dc48190acf120ca5fe516ab completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:39 p.m.