Triple

T15202175
Position Surface form Disambiguated ID Type / Status
Subject Send in the Clowns E363294 entity
Predicate hasNotableCoverArtist P56626 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: [Send in the Clowns, hasNotableCoverArtist, Shirley Bassey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shirley Bassey
Context triple: [Send in the Clowns, hasNotableCoverArtist, 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. Janet Baker
    Janet Baker is a renowned English mezzo-soprano celebrated for her expressive interpretations of lieder, Baroque opera, and French song.
  • D. 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."
  • E. 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.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b588b88190a88e91d521acbdfe completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed3390b708190b10c876c437c72c8 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.