Triple

T19756905
Position Surface form Disambiguated ID Type / Status
Subject Nancy and Rich Kinder Building E474523 entity
Predicate namedAfter P63 FINISHED
Object Nancy Kinder
Nancy Kinder is a philanthropist and civic leader known for her significant support of cultural and educational institutions, particularly in Houston, Texas.
E1394543 NE FINISHED

How this triple was built (4 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: Nancy Kinder | Statement: [Nancy and Rich Kinder Building, namedAfter, Nancy Kinder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Kinder
Context triple: [Nancy and Rich Kinder Building, namedAfter, Nancy Kinder]
  • A. Joan Snyder
    Joan Snyder is best known as the wife of famed American sports commentator and Las Vegas bookmaker Jimmy "The Greek" Snyder.
  • B. Nancy Schön
    Nancy Schön is an American sculptor best known for her beloved public bronze sculptures, including the iconic "Make Way for Ducklings" installation in Boston.
  • C. Nancy Wilner
    Nancy Wilner is best known as the first wife of American actor Robert Culp, with whom she was married in the 1950s.
  • D. Melissa Winogrand
    Melissa Winogrand is known as one of the children of influential American street photographer Garry Winogrand.
  • E. Nancy Pindell
    Nancy Pindell was the wife of Robert Trimble, an early 19th-century Associate Justice of the United States Supreme Court.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nancy Kinder
Triple: [Nancy and Rich Kinder Building, namedAfter, Nancy Kinder]
Generated description
Nancy Kinder is a philanthropist and civic leader known for her significant support of cultural and educational institutions, particularly in Houston, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nancy Kinder
Target entity description: Nancy Kinder is a philanthropist and civic leader known for her significant support of cultural and educational institutions, particularly in Houston, Texas.
  • A. Joan Snyder
    Joan Snyder is best known as the wife of famed American sports commentator and Las Vegas bookmaker Jimmy "The Greek" Snyder.
  • B. Nancy Schön
    Nancy Schön is an American sculptor best known for her beloved public bronze sculptures, including the iconic "Make Way for Ducklings" installation in Boston.
  • C. Nancy Wilner
    Nancy Wilner is best known as the first wife of American actor Robert Culp, with whom she was married in the 1950s.
  • D. Melissa Winogrand
    Melissa Winogrand is known as one of the children of influential American street photographer Garry Winogrand.
  • E. Nancy Pindell
    Nancy Pindell was the wife of Robert Trimble, an early 19th-century Associate Justice of the United States Supreme Court.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a07bd69f9a481909c82253039af1ec1 completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be1380608190b1efcd97a4bd0c15 completed May 16, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a07bfb095b08190a23710cf78a2b923 completed May 16, 2026, 12:52 a.m.
Created at: April 10, 2026, 1:48 p.m.