Triple

T23161128
Position Surface form Disambiguated ID Type / Status
Subject Meredith Brown E578586 entity
Predicate appearsIn P795 FINISHED
Object National Velvet 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: National Velvet | Statement: [Meredith Brown, appearsIn, National Velvet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National Velvet
Context triple: [Meredith Brown, appearsIn, National Velvet]
  • A. National Velvet chosen
    National Velvet is a classic 1944 family sports drama film about a young girl and her horse competing in the Grand National steeplechase.
  • B. The Great Waltz
    The Great Waltz is a 1938 musical biographical film about composer Johann Strauss II, renowned for its lavish production and celebrated cinematography.
  • C. The Nance
    The Nance is a Broadway play by Douglas Carter Beane that explores the life and struggles of a gay burlesque performer in 1930s New York.
  • D. The Greatest Show
    "The Greatest Show" is the high-energy opening ensemble number from the musical film *The Greatest Showman*, known for its theatrical flair and anthemic celebration of showmanship.
  • E. Music of the Heart
    Music of the Heart is a 1999 drama film starring Meryl Streep as a violin teacher who builds a music program in an inner-city New York school.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f006930819097aafef87405d737 completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.