Triple

T3196868
Position Surface form Disambiguated ID Type / Status
Subject Amy Winehouse E66955 entity
Predicate familyName P18 FINISHED
Object Winehouse E66955 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: Winehouse | Statement: [Amy Winehouse, familyName, Winehouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winehouse
Context triple: [Amy Winehouse, familyName, Winehouse]
  • A. Amy Winehouse chosen
    Amy Winehouse was a British singer-songwriter renowned for her powerful soulful voice, deeply personal lyrics, and genre-blending albums such as "Back to Black."
  • B. Joss Stone
    Joss Stone is an English soul and R&B singer-songwriter known for her powerful, bluesy vocals and hit albums like "The Soul Sessions."
  • C. Eva Cassidy
    Eva Cassidy was an American singer known for her emotive, genre-spanning interpretations of jazz, folk, and pop standards that gained widespread acclaim posthumously.
  • D. Elizabeth Young
    Elizabeth Young was an American actress active in the 1930s who appeared in several Hollywood films before retiring from the screen.
  • E. Elaine Paige
    Elaine Paige is an English singer and actress renowned as the "First Lady of British Musical Theatre" for her leading roles in hit West End and Broadway productions such as Evita and Cats.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7177b488190b7a1b40ff3fae15f completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262181a4c8190b31bbb6bd7bef436 completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.