Triple

T22760210
Position Surface form Disambiguated ID Type / Status
Subject Ruby & the Romantics E562964 entity
Predicate member P10 FINISHED
Object Ruby Nash 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 | Statement: [Ruby & the Romantics, member, Ruby Nash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruby Nash
Context triple: [Ruby & the Romantics, member, Ruby Nash]
  • A. 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."
  • B. Sarah Nash
    Sarah Nash is an American business executive known for her leadership roles in major retail and financial companies, including serving on the board and in senior positions at L Brands.
  • C. Jan Nash
    Jan Nash is an American television writer and producer known for her work on crime and procedural dramas, including serving as a creator and showrunner on series such as NCIS: Hawaiʻi.
  • D. Alicia Nash
    Alicia Nash was a Salvadoran-American physicist and mental health advocate best known as the devoted wife of mathematician John Nash, whose life with him was portrayed in the film "A Beautiful Mind."
  • 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_69f17a7b4fe88190b1da25b78f046d13 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.