Triple

T21335511
Position Surface form Disambiguated ID Type / Status
Subject Kitty Carlisle E526034 entity
Predicate spouse P13 FINISHED
Object Moss Hart 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: Moss Hart | Statement: [Kitty Carlisle, spouse, Moss Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moss Hart
Context triple: [Kitty Carlisle, spouse, Moss Hart]
  • A. Moss Hart chosen
    Moss Hart was a prominent American playwright and director best known for his Broadway collaborations with George S. Kaufman and his influential contributions to mid-20th-century theater and film.
  • B. Ruth Price
    Ruth Price is a person known primarily as a family member of Andrew Price.
  • C. Elmer Rice
    Elmer Rice was an American playwright and director best known for his innovative and socially conscious dramas in the early 20th century.
  • D. Chester Kallman
    Chester Kallman was an American poet and librettist best known for his long-term personal and artistic collaboration with W. H. Auden on numerous opera libretti and translations.
  • E. Laura Pels
    Laura Pels was a prominent French-born arts patron and philanthropist known for her significant support of theater, particularly in New York.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d6fcbc8190b83d9cfc9b4ca123 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 4:43 p.m.