Triple

T6529651
Position Surface form Disambiguated ID Type / Status
Subject I Want to Know What Love Is E152195 entity
Predicate hasCoverVersionBy P11142 FINISHED
Object Shirley Bassey E109058 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: Shirley Bassey | Statement: [I Want to Know What Love Is, hasCoverVersionBy, Shirley Bassey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shirley Bassey
Context triple: [I Want to Know What Love Is, hasCoverVersionBy, Shirley Bassey]
  • A. Shirley Bassey chosen
    Shirley Bassey is a Welsh singer renowned for her powerful voice and iconic performances of multiple James Bond film theme songs.
  • B. Cilla Black
    Cilla Black was a popular English singer and television presenter who rose to fame in the 1960s with hit singles and later became a beloved UK TV personality.
  • C. Bonnie Tyler
    Bonnie Tyler is a Welsh singer known for her distinctive husky voice and hit songs such as "Total Eclipse of the Heart" and "Holding Out for a Hero."
  • D. Petula Clark
    Petula Clark is a British singer and actress best known for her 1960s pop hits like "Downtown" and her successful film and stage career.
  • E. Diana Mercer
    Diana Mercer is a member of the influential Mercer family, known for its significant involvement in conservative politics and high-profile philanthropic and data-driven initiatives in the United States.
  • 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_69c688048ec8819093a47f7d332e12ec completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6adaafbfc8190a3e3c75ea5958c67 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb7a85dc8190a97138a20728b43f completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:46 p.m.