Triple

T7349474
Position Surface form Disambiguated ID Type / Status
Subject Club 152 E169458 entity
Predicate name P16 FINISHED
Object Club 152 E169458 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: Club 152 | Statement: [Club 152, name, Club 152]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Club 152
Context triple: [Club 152, name, Club 152]
  • A. Club 152 chosen
    Club 152 is a popular multi-level bar and live music venue on Memphis’s historic Beale Street, known for its energetic nightlife and performances.
  • B. Club C 85
    Club C 85 is a specific model or variant of the Club C line of athletic footwear, likely distinguished by particular design or performance features.
  • C. Club de la Unión
    Club de la Unión is a historic and prestigious social club in Lima, Peru, known for its elegant architecture and prominent role in the city’s cultural and political life.
  • D. X Club
    X Club was an influential 19th-century London dining and discussion society of prominent scientists who championed Darwinism and the professionalization of science.
  • E. Club de la Serpiente
    Club de la Serpiente is the bohemian, intellectual circle of friends in Julio Cortázar’s novel "Rayuela," known for their jazz-infused gatherings and philosophical discussions in Paris.
  • 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f107b88c81908bb5f8deb40ab70b completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa95b26481909f26389d1019da91 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.