Triple

T22012658
Position Surface form Disambiguated ID Type / Status
Subject Walden Robert Cassotto E543616 entity
Predicate notableWork P4 FINISHED
Object Mack the Knife 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: Mack the Knife | Statement: [Walden Robert Cassotto, notableWork, Mack the Knife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mack the Knife
Context triple: [Walden Robert Cassotto, notableWork, Mack the Knife]
  • A. Mack the Knife chosen
    "Mack the Knife" is a popular song from Kurt Weill and Bertolt Brecht's "The Threepenny Opera" that became a jazz and pop standard through numerous iconic recordings.
  • B. The Mephisto Waltz
    The Mephisto Waltz is a 1971 American horror film involving satanic rituals and body-swapping, in which Bradford Dillman plays a central role.
  • C. Gee, Officer Krupke
    "Gee, Officer Krupke" is a satirical, comedic song from the musical *West Side Story* that humorously critiques social institutions and their handling of juvenile delinquency.
  • D. 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.
  • E. 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.
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a5e624819082ed5beeb4bc82fa completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:22 p.m.