Triple

T19756906
Position Surface form Disambiguated ID Type / Status
Subject Nancy and Rich Kinder Building E474523 entity
Predicate namedAfter P63 FINISHED
Object Rich Kinder 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: Rich Kinder | Statement: [Nancy and Rich Kinder Building, namedAfter, Rich Kinder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rich Kinder
Context triple: [Nancy and Rich Kinder Building, namedAfter, Rich Kinder]
  • A. Rich Kinder chosen
    Rich Kinder is an American billionaire businessman and philanthropist best known as the co-founder and former executive chairman of energy infrastructure company Kinder Morgan.
  • B. Jennifer Kidd
    Jennifer Kidd is known as the wife of British author and former politician Stanley Johnson.
  • C. Robin Kohn
    Robin Kohn is an American former child voice actress best known for voicing Lucy van Pelt in early 1970s Peanuts animated specials and films.
  • D. Jordan Kerner
    Jordan Kerner is an American film and television producer known for projects such as "Less Than Zero" and the live-action "The Smurfs" films.
  • E. Zandy Reich
    Zandy Reich is an American businessman best known as the husband of actress and singer Lea Michele.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6531c42408190b856341a6c6a4101 completed April 20, 2026, 4:23 p.m.
Created at: April 10, 2026, 1:48 p.m.