Triple

T8426539
Position Surface form Disambiguated ID Type / Status
Subject Simply the Best E199007 entity
Predicate coveredBy P6130 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: [Simply the Best, coveredBy, Bonnie Tyler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonnie Tyler
Context triple: [Simply the Best, coveredBy, 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb85a37e388190b2a7ab8e6966baac completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d502c448190aabc957786bde79f completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:07 p.m.