Triple

T15282610
Position Surface form Disambiguated ID Type / Status
Subject Kendal Richardson E365307 entity
Predicate name P16 FINISHED
Object Kendal Richardson E365307 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: Kendal Richardson | Statement: [Kendal Richardson, name, Kendal Richardson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kendal Richardson
Context triple: [Kendal Richardson, name, Kendal Richardson]
  • A. Kendal Richardson chosen
    Kendal Richardson is a political figure who ran for mayor in the 2023 Dallas mayoral election.
  • B. Kay Kendall
    Kay Kendall was a British actress and comedian best known for her sparkling performances in 1950s films and her charismatic screen presence.
  • C. Kerry Richardson
    Kerry Richardson is a member of the Richardson family, known primarily as a sibling of the late architect and philanthropist Mary Richardson Kennedy.
  • D. Marque Richardson
    Marque Richardson is an American actor best known for his role as Reggie Green in the satirical comedy-drama series "Dear White People."
  • E. Deandra Reynolds
    Deandra Reynolds is a main character on the TV sitcom "It's Always Sunny in Philadelphia," known for her delusional aspirations, abrasive personality, and constant mistreatment by her friends.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e51f82081909f63d14b589d5587 completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01e2a03c81909ab24d4ed2b54698 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:15 a.m.