Triple

T5581065
Position Surface form Disambiguated ID Type / Status
Subject I'm Your Angel E146640 entity
Predicate writer P1360 FINISHED
Object R. Kelly E69748 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: R. Kelly | Statement: [I'm Your Angel, writer, R. Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R. Kelly
Context triple: [I'm Your Angel, writer, R. Kelly]
  • A. R. Kelly chosen
    R. Kelly is an American R&B singer, songwriter, and record producer known for his influential 1990s and 2000s hits as well as his later criminal convictions for sexual abuse.
  • B. Chris Brown
    Chris Brown is an American singer, songwriter, dancer, and actor known for his R&B and pop hits as well as his dynamic performances.
  • C. Chris Brown
    Chris Brown is a film producer known for his work on the World War II drama "The Railway Man."
  • D. Red Kelly
    Red Kelly was a Canadian Hall of Fame ice hockey defenseman and later politician, renowned for his stellar NHL career with the Detroit Red Wings and Toronto Maple Leafs.
  • E. Robert Sylvester Kelly
    Robert Sylvester Kelly is an American R&B singer, songwriter, and record producer known for his influential hits as well as his highly publicized criminal convictions related to sexual abuse.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0208147a48190b2cdb42b9c9814a3 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d26856c8190bdda69a049df1c10 completed March 22, 2026, 8:12 p.m.
Created at: March 22, 2026, 3:37 p.m.