Triple

T6529652
Position Surface form Disambiguated ID Type / Status
Subject I Want to Know What Love Is E152195 entity
Predicate hasCoverVersionBy P11142 FINISHED
Object Bonnie Tyler E580697 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: Bonnie Tyler | Statement: [I Want to Know What Love Is, hasCoverVersionBy, Bonnie Tyler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonnie Tyler
Context triple: [I Want to Know What Love Is, hasCoverVersionBy, Bonnie Tyler]
  • A. Bonnie Tyler chosen
    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."
  • B. Sandie Shaw
    Sandie Shaw is a British pop singer best known as a 1960s icon and the first UK act to win the Eurovision Song Contest.
  • C. Shirley Bassey
    Shirley Bassey is a Welsh singer renowned for her powerful voice and iconic performances of multiple James Bond film theme songs.
  • D. Laura Branigan
    Laura Branigan was an American pop singer and actress best known for her powerful vocals and 1980s hits such as "Gloria" and "Self Control."
  • E. Sheena Easton
    Sheena Easton is a Scottish pop singer and actress who rose to fame in the 1980s with hits like "Morning Train (Nine to Five)" and "For Your Eyes Only."
  • 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_69c6d52ca9988190addfdae6d7b53a6e completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:46 p.m.