Triple

T11660717
Position Surface form Disambiguated ID Type / Status
Subject Moses Gunn E277110 entity
Predicate notableWork P4 FINISHED
Object Ragtime E240386 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: Ragtime | Statement: [Moses Gunn, notableWork, Ragtime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ragtime
Context triple: [Moses Gunn, notableWork, Ragtime]
  • A. Ragtime chosen
    Ragtime is a Tony Award–winning Broadway musical that intertwines the stories of three families in early 20th-century America to explore themes of race, class, and social change.
  • B. Swing Time
    Swing Time is a 2016 novel by British author Zadie Smith that explores friendship, race, class, and ambition through the intertwined lives of two mixed-race girls who dream of becoming dancers.
  • C. Swing Time
    Swing Time is a classic 1936 Hollywood musical film starring Fred Astaire and Ginger Rogers, renowned for its innovative dance sequences and Jerome Kern–Dorothy Fields score.
  • D. Jazz (novel)
    "Jazz" is a 1992 novel by Toni Morrison that explores love, violence, and memory in 1920s Harlem through a polyphonic, jazz-like narrative style.
  • E. Manhattan Melodrama
    Manhattan Melodrama is a 1934 American crime drama film, best known for starring Clark Gable, William Powell, and Myrna Loy and for being the movie John Dillinger watched before his death.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3d29fdc8190af46b6e2badb1df5 completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee882148a08190a1a8c16d8cb7e48a completed April 26, 2026, 9:48 p.m.
Created at: April 8, 2026, 9:39 p.m.