Triple

T9236923
Position Surface form Disambiguated ID Type / Status
Subject You're No Good E221959 entity
Predicate notableCoverArtist P7128 FINISHED
Object Betty Everett E166927 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: Betty Everett | Statement: [You're No Good, notableCoverArtist, Betty Everett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betty Everett
Context triple: [You're No Good, notableCoverArtist, Betty Everett]
  • A. Betty Everett chosen
    Betty Everett was an American soul singer best known for her 1964 hit single "The Shoop Shoop Song (It's in His Kiss)."
  • B. Betty Lawford
    Betty Lawford was a British-born film actress of the early 20th century who appeared in Hollywood productions during the 1930s.
  • C. Betty Kelly
    Betty Kelly is an American singer best known as a member of the Motown girl group Martha and the Vandellas during the 1960s.
  • D. Madge Evans
    Madge Evans was an American stage and film actress of the early 20th century, known for her work in both silent and sound films.
  • E. Betty Furness
    Betty Furness was an American actress and television personality best known for her film roles in the 1930s and later as a pioneering consumer affairs advocate on TV.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09e553081909cf864635cfc5dcc completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077cc774c8190bdbdd4071c11f096 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:29 p.m.