Triple

T23538388
Position Surface form Disambiguated ID Type / Status
Subject Schmicago E577669 entity
Predicate parodies P10352 FINISHED
Object Cabaret 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: Cabaret | Statement: [Schmicago, parodies, Cabaret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabaret
Context triple: [Schmicago, parodies, 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. Kabaret
    Kabaret is a 2008 studio album by French singer Patricia Kaas that blends chanson, jazz, and cabaret influences in a theatrical, retro-inspired style.
  • C. 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.
  • D. 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."
  • E. 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.
  • 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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae19473881909aa65f9d36744502 completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.