Triple

T22760406
Position Surface form Disambiguated ID Type / Status
Subject "Our Day Will Come" E562969 entity
Predicate associatedAct P37 FINISHED
Object Ruby Nash Curtis 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: Ruby Nash Curtis | Statement: ["Our Day Will Come", associatedAct, Ruby Nash Curtis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruby Nash Curtis
Context triple: ["Our Day Will Come", associatedAct, Ruby Nash Curtis]
  • A. Carol Denise Nash
    Carol Denise Nash, better known as Niecy Nash, is an American actress, comedian, and television host recognized for her roles in series like "Reno 911!" and "Claws."
  • B. Kelly Curtis
    Kelly Curtis is an American actress and producer known for her work in film and television and as a member of the Curtis acting family.
  • C. Ruby Nash chosen
    Ruby Nash is an American singer best known as the lead vocalist of the 1960s R&B group Ruby & the Romantics, famed for their hit "Our Day Will Come."
  • D. Grace Nelson
    Grace Nelson is an American political figure and philanthropist best known as the wife of former U.S. Senator and NASA Administrator Bill Nelson.
  • E. Mary Nash
    Mary Nash was an American character actress known for her supporting roles in classic Hollywood films of the 1930s and 1940s.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7c45b881908b29ba1439038789 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.