Triple

T20664156
Position Surface form Disambiguated ID Type / Status
Subject All Love Can Be E507838 entity
Predicate performer P1363 FINISHED
Object Charlotte Church 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: Charlotte Church | Statement: [All Love Can Be, performer, Charlotte Church]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlotte Church
Context triple: [All Love Can Be, performer, Charlotte Church]
  • A. Charlotte Church chosen
    Charlotte Church is a Welsh singer, songwriter, and former child classical crossover star who later transitioned into pop music and television presenting.
  • B. Christy Christopher
    Christy Christopher is a fictional U.S. Navy sailor and member of the comedic PT-73 crew in the 1960s television sitcom "McHale's Navy."
  • C. LeAnn Rimes
    LeAnn Rimes is an American country and pop singer best known for her breakout hit "Blue" and her powerful, mature vocals from a young age.
  • D. Connie Talbot
    Connie Talbot is an English singer who gained fame as a child finalist on Britain's Got Talent and is known for her renditions of popular songs.
  • E. Kate Rockwell
    Kate Rockwell is an American musical theatre actress best known for originating the role of Karen Smith in the Broadway musical adaptation of Mean Girls.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2f541bc8190ac7946b91647f2b0 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:44 a.m.