Triple

T4651567
Position Surface form Disambiguated ID Type / Status
Subject University of Louisville E102304 entity
Predicate hasPresident P112 FINISHED
Object Kim Schatzel
Kim Schatzel is an American academic administrator and business leader who serves as the president of the University of Louisville.
E463981 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: Kim Schatzel | Statement: [University of Louisville, hasPresident, Kim Schatzel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim Schatzel
Context triple: [University of Louisville, hasPresident, Kim Schatzel]
  • A. Lisa Eilbacher
    Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
  • B. Anne Schaefer
    Anne Schaefer was an American silent film actress active in the early 20th century, appearing in numerous productions during the 1910s and 1920s.
  • C. Stefanie Ehrlich
    Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
  • D. Julie Naschauer
    Julie Naschauer was the wife of Theodor Herzl, the Austro-Hungarian journalist and founder of modern political Zionism.
  • E. Julie Schumann
    Julie Schumann was one of the daughters of the renowned Romantic composer Robert Schumann and his pianist wife Clara Schumann.
  • 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: Kim Schatzel
Triple: [University of Louisville, hasPresident, Kim Schatzel]
Generated description
Kim Schatzel is an American academic administrator and business leader who serves as the president of the University of Louisville.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kim Schatzel
Target entity description: Kim Schatzel is an American academic administrator and business leader who serves as the president of the University of Louisville.
  • A. Lisa Eilbacher
    Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
  • B. Anne Schaefer
    Anne Schaefer was an American silent film actress active in the early 20th century, appearing in numerous productions during the 1910s and 1920s.
  • C. Stefanie Ehrlich
    Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
  • D. Julie Naschauer
    Julie Naschauer was the wife of Theodor Herzl, the Austro-Hungarian journalist and founder of modern political Zionism.
  • E. Julie Schumann
    Julie Schumann was one of the daughters of the renowned Romantic composer Robert Schumann and his pianist wife Clara Schumann.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd630343f88190954d19fcd18a5864 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69be1040dbdc8190b9ab7b0b58bca308 completed March 21, 2026, 3:28 a.m.
NEDg Description generation batch_69be110cef808190b74e64eb0e28d53e completed March 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69be11691c448190ab09b3d055c1a1a8 completed March 21, 2026, 3:32 a.m.
Created at: March 20, 2026, 1:14 p.m.