Triple

T20373559
Position Surface form Disambiguated ID Type / Status
Subject Shindig! E497632 entity
Predicate featuredPerformer P17435 FINISHED
Object Cilla Black NE NERFINISHED

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: Cilla Black | Statement: [Shindig!, featuredPerformer, Cilla Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cilla Black
Context triple: [Shindig!, featuredPerformer, Cilla Black]
  • A. Cilla Black chosen
    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.
  • B. Shirley Bassey
    Shirley Bassey is a Welsh singer renowned for her powerful voice and iconic performances of multiple James Bond film theme songs.
  • C. Cilla
    Cilla is a character in Toni Morrison’s opera "Margaret Garner," which dramatizes the true story of an enslaved woman’s desperate bid for freedom in pre–Civil War America.
  • D. Cilla
    Cilla is a feminine given name, commonly used as a diminutive form of Priscilla.
  • 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 (2 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678aad7b08190a710a75d6828b21e completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.