Triple

T10070540
Position Surface form Disambiguated ID Type / Status
Subject Susie Myerson E213611 entity
Predicate employedAt P17879 FINISHED
Object The Gaslight Cafe E451887 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: The Gaslight Cafe | Statement: [Susie Myerson, employedAt, The Gaslight Cafe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Gaslight Cafe
Context triple: [Susie Myerson, employedAt, The Gaslight Cafe]
  • A. Gaslight Cafe chosen
    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.
  • B. Lamplight Lounge
    Lamplight Lounge is a Pixar-themed waterfront restaurant and bar at Disney California Adventure known for its creative cocktails, gastropub-style fare, and animation-inspired decor.
  • C. Tangierine Café
    Tangierine Café is a quick-service restaurant in the Morocco Pavilion at EPCOT, known for serving Middle Eastern and North African-inspired dishes.
  • D. Babylon Restaurant
    Babylon Restaurant is an upscale dining venue located atop Kensington Roof Gardens in London, known for its panoramic city views and stylish atmosphere.
  • E. Mel’s Diner
    Mel’s Diner is a retro-themed American restaurant styled after a classic 1950s diner, known for serving burgers, fries, and milkshakes in a nostalgic setting.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcffa045c8190a08db0bb74cb006a completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29aa05cc881909f59178e9c6c01ef completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:58 p.m.