Triple

T7511260
Position Surface form Disambiguated ID Type / Status
Subject ARUP Laboratories E177524 entity
Predicate foundedBy P104 FINISHED
Object Carl Kjeldsberg
Carl Kjeldsberg is a pathologist and academic leader best known as a co-founder of ARUP Laboratories, a major national clinical and anatomic pathology reference laboratory.
E671884 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: Carl Kjeldsberg | Statement: [ARUP Laboratories, foundedBy, Carl Kjeldsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carl Kjeldsberg
Context triple: [ARUP Laboratories, foundedBy, Carl Kjeldsberg]
  • A. Kjell Neergaard
    Kjell Neergaard is a Norwegian politician who has served as the mayor of the coastal city of Kristiansund.
  • B. Thue Christiansen
    Thue Christiansen was a Greenlandic teacher, artist, and politician best known for creating Greenland’s national flag.
  • C. Christopher Koefoed
    Christopher Koefoed is a film editor known for his work on the 1997 crime-comedy drama "Gridlock'd."
  • D. Hans Dreier
    Hans Dreier was a prominent German-born art director in Hollywood’s Golden Age, best known for his influential visual design work on numerous Paramount Pictures films.
  • E. Thorvald Jørgensen
    Thorvald Jørgensen was a Danish architect best known for his prominent public and ecclesiastical buildings in Copenhagen in the late 19th and early 20th centuries.
  • 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: Carl Kjeldsberg
Triple: [ARUP Laboratories, foundedBy, Carl Kjeldsberg]
Generated description
Carl Kjeldsberg is a pathologist and academic leader best known as a co-founder of ARUP Laboratories, a major national clinical and anatomic pathology reference laboratory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carl Kjeldsberg
Target entity description: Carl Kjeldsberg is a pathologist and academic leader best known as a co-founder of ARUP Laboratories, a major national clinical and anatomic pathology reference laboratory.
  • A. Kjell Neergaard
    Kjell Neergaard is a Norwegian politician who has served as the mayor of the coastal city of Kristiansund.
  • B. Thue Christiansen
    Thue Christiansen was a Greenlandic teacher, artist, and politician best known for creating Greenland’s national flag.
  • C. Christopher Koefoed
    Christopher Koefoed is a film editor known for his work on the 1997 crime-comedy drama "Gridlock'd."
  • D. Hans Dreier
    Hans Dreier was a prominent German-born art director in Hollywood’s Golden Age, best known for his influential visual design work on numerous Paramount Pictures films.
  • E. Thorvald Jørgensen
    Thorvald Jørgensen was a Danish architect best known for his prominent public and ecclesiastical buildings in Copenhagen in the late 19th and early 20th centuries.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d33960819089a10c1149abf4b2 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ef549588190ab950abb3678128f completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c8521845f4819083fa627a693f7663 completed March 28, 2026, 10:11 p.m.
NED2 Entity disambiguation (via description) batch_69c8526cabd48190b01f5ab96bcebb89 completed March 28, 2026, 10:13 p.m.
Created at: March 27, 2026, 3:45 p.m.