Triple

T19547163
Position Surface form Disambiguated ID Type / Status
Subject So Big E489102 entity
Predicate followedBy P78 FINISHED
Object Show Boat 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: Show Boat | Statement: [So Big, followedBy, Show Boat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Show Boat
Context triple: [So Big, followedBy, Show Boat]
  • A. Show Boat chosen
    Show Boat is a landmark American musical, with music by Jerome Kern and lyrics and book by Oscar Hammerstein II, that broke new ground by integrating serious themes and complex characters into its storytelling.
  • B. Porgy and Bess
    Porgy and Bess is a landmark American opera by George Gershwin that blends classical music, jazz, and blues to depict African American life in Charleston’s Catfish Row.
  • C. Porgy
    Porgy is the disabled but resilient beggar protagonist of George Gershwin’s folk opera "Porgy and Bess," known for his deep humanity and enduring love for Bess.
  • D. The Lady from Louisiana
    The Lady from Louisiana is a 1941 American crime drama film set in New Orleans, known for its blend of romance, political corruption, and natural disaster spectacle.
  • E. The Lady from the South
    The Lady from the South is a film shot by American cinematographer Joseph Walker, known for his influential work during Hollywood’s classic era.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d2d8a6081908e9bb3a6f5d85896 completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.