Triple

T3114336
Position Surface form Disambiguated ID Type / Status
Subject Joseph Buloff E65023 entity
Predicate collaboratedWith P435 FINISHED
Object Luba Kadison E348350 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: Luba Kadison | Statement: [Joseph Buloff, collaboratedWith, Luba Kadison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luba Kadison
Context triple: [Joseph Buloff, collaboratedWith, Luba Kadison]
  • A. Luba Kadison chosen
    Luba Kadison was a prominent Yiddish stage actress and director known for her influential work in 20th-century Jewish theater.
  • B. Jessica Szohr
    Jessica Szohr is an American actress best known for her role as Vanessa Abrams on the television series "Gossip Girl" and later as a main cast member on the sci-fi comedy-drama "The Orville."
  • C. Katie Morosky
    Katie Morosky is a politically passionate, idealistic Jewish woman whose complex romance with a more easygoing man forms the emotional core of the film "The Way We Were."
  • D. Lila Hotz
    Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
  • E. Madeline Neroni
    Madeline Neroni is a captivating, manipulative, and physically disabled beauty in Anthony Trollope’s novel "Barchester Towers," known for using her charm and wit to influence the social and romantic intrigues around her.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43dca688190ab041554220c5271 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b324e2f1448190be5b744abdeed314 completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:04 p.m.