Triple

T15485493
Position Surface form Disambiguated ID Type / Status
Subject Fred Ebb E377035 entity
Predicate notableWork P4 FINISHED
Object Cabaret E121170 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: Cabaret | Statement: [Fred Ebb, notableWork, Cabaret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabaret
Context triple: [Fred Ebb, notableWork, Cabaret]
  • A. Cabaret
    Cabaret is a coastal commune in Haiti’s Ouest Department, known for its proximity to Port-au-Prince and its role in the region’s local agriculture and trade.
  • B. Cabaret (stage production) chosen
    Cabaret (stage production) is a landmark musical set in 1930s Berlin that explores the rise of Nazism through the decadent world of the Kit Kat Klub, known for its dark themes, iconic songs, and innovative staging.
  • C. Can-Can
    Can-Can is a 1953 Broadway musical by Cole Porter, best known for its lively Parisian setting and memorable score featuring songs like "I Love Paris."
  • D. Moulin Rouge
    Moulin Rouge is a famous Parisian cabaret known for its iconic red windmill, lavish shows, and role in popularizing the modern can-can dance.
  • E. Babes in Arms
    Babes in Arms is a 1939 American musical film, based on the Rodgers and Hart stage musical, best known for starring Judy Garland and Mickey Rooney as aspiring performers putting on a show.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8f71a08190a440ff19dcc65312 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365b3980819094d3ca0b7766009c completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:46 a.m.