Triple

T956446
Position Surface form Disambiguated ID Type / Status
Subject Cerner E20635 entity
Predicate foundedBy P104 FINISHED
Object Paul Gorup
Paul Gorup is an American technology entrepreneur best known as a co-founder of the healthcare IT company Cerner Corporation.
 E213549 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: Paul Gorup | Statement: [Cerner, foundedBy, Paul Gorup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paul Gorup
Context triple: [Cerner, foundedBy, Paul Gorup]
  • A. Peter Amundson
    Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
  • B. Paul Eggert
    Paul Eggert is a computer scientist and software developer best known for his long-term stewardship and maintenance of the IANA time zone database and contributions to GNU software.
  • C. Gustav Kleikamp
    Gustav Kleikamp was a German naval officer and rear admiral in the Kriegsmarine during World War II, known for commanding forces in the opening attack on Poland.
  • D. John Heydler
    John Heydler was an American baseball executive who served as president of the National League in the early 20th century.
  • E. George Boemler
    George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
  • 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: Paul Gorup
Triple: [Cerner, foundedBy, Paul Gorup]
Generated description
Paul Gorup is an American technology entrepreneur best known as a co-founder of the healthcare IT company Cerner Corporation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paul Gorup
Target entity description: Paul Gorup is an American technology entrepreneur best known as a co-founder of the healthcare IT company Cerner Corporation.
  • A. Peter Amundson
    Peter Amundson is a film editor best known for his work on major Hollywood productions, including the science-fiction action film "Pacific Rim."
  • B. Paul Eggert
    Paul Eggert is a computer scientist and software developer best known for his long-term stewardship and maintenance of the IANA time zone database and contributions to GNU software.
  • C. Gustav Kleikamp
    Gustav Kleikamp was a German naval officer and rear admiral in the Kriegsmarine during World War II, known for commanding forces in the opening attack on Poland.
  • D. John Heydler
    John Heydler was an American baseball executive who served as president of the National League in the early 20th century.
  • E. George Boemler
    George Boemler was a film editor known for his work on classic Hollywood productions, including the musical comedy "High Society."
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3f981bc819098125554eeeb6375 completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab03e388190b7b5c7c5802bf3c1 completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb8a0a64819087e4505089e93093 completed March 8, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69adec6fcaac8190b43d0cd1aa613c95 completed March 8, 2026, 9:38 p.m.
Created at: March 1, 2026, 7:40 p.m.