Triple

T23302539
Position Surface form Disambiguated ID Type / Status
Subject Volodymyr Palahniuk E590340 entity
Predicate notableWork P4 FINISHED
Object Bagdad Cafe 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: Bagdad Cafe | Statement: [Volodymyr Palahniuk, notableWork, Bagdad Cafe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagdad Cafe
Context triple: [Volodymyr Palahniuk, notableWork, Bagdad Cafe]
  • A. Bagdad Cafe chosen
    Bagdad Cafe is a 1987 cult-favorite comedy-drama film set in a remote Mojave Desert truck stop, known for its quirky characters and offbeat charm.
  • B. The Arab Café
    The Arab Café is a 19th-century Orientalist painting by French academic artist Gustave Boulanger depicting an intimate scene of social life in a Middle Eastern café.
  • C. The Casbah Coffee Club
    The Casbah Coffee Club was an early Liverpool music venue and social club closely associated with the birth of the Merseybeat scene and the formative years of The Beatles.
  • D. The Cafe
    The Cafe is a casual dining spot where people can relax, socialize, and enjoy beverages and light meals.
  • E. 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.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1972406a08190bbf355cc7a9f8432 completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.