Triple

T20462501
Position Surface form Disambiguated ID Type / Status
Subject Fania Borach E501960 entity
Predicate inspiredWork P1994 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: [Fania Borach, inspiredWork, Funny Lady]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funny Lady
Context triple: [Fania Borach, inspiredWork, 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a761648190b24cf4bb90a8abb1 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.