Triple

T21875919
Position Surface form Disambiguated ID Type / Status
Subject Cis Corman E540143 entity
Predicate notableWork P4 FINISHED
Object Funny Lady 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: Funny Lady | Statement: [Cis Corman, notableWork, Funny Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funny Lady
Context triple: [Cis Corman, notableWork, Funny Lady]
  • A. Funny Lady chosen
    Funny Lady is a 1975 musical film sequel to Funny Girl that continues the fictionalized story of comedian and singer Fanny Brice, again portrayed by Barbra Streisand.
  • B. Pretty Lady
    "Pretty Lady" is a song from Stephen Sondheim and John Weidman’s 1976 Broadway musical *Pacific Overtures*, known for its delicate, haunting melody and exploration of cross-cultural fascination.
  • C. Lovely Lady
    Lovely Lady is a fragrance from the Made in Brooklyn collection, known for its feminine, urban-inspired scent profile.
  • D. Show Girl
    Show Girl is a 1929 Broadway musical comedy best known for featuring actress and singer Vivienne Segal in a leading role.
  • E. Beautiful Lady
    Beautiful Lady is a notable work associated with the Gyptian culture or people, recognized for its artistic and cultural significance.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0f33957f481908789b054a4fd1b77 completed April 28, 2026, 5:49 p.m.
Created at: April 16, 2026, 7:02 p.m.