Triple

T3563714
Position Surface form Disambiguated ID Type / Status
Subject Doggumentary E75394 entity
Predicate featuresArtist P1952 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: [Doggumentary, featuresArtist, R. Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R. Kelly
Context triple: [Doggumentary, featuresArtist, 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0a60e6c8190a3c3ddae5b6ded54 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402e8628c81909913974602782b7a completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.