Triple

T5017634
Position Surface form Disambiguated ID Type / Status
Subject Cerner Corporation E112771 entity
Predicate foundedBy P104 FINISHED
Object Paul Gorup E213549 NE FINISHED

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: Paul Gorup | Statement: [Cerner Corporation, foundedBy, Paul Gorup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Gorup
Context triple: [Cerner Corporation, foundedBy, Paul Gorup]
  • A. Paul Gorup chosen
    Paul Gorup is an American technology entrepreneur best known as a co-founder of the healthcare IT company Cerner Corporation.
  • B. Paul Boray
    Paul Boray is the driven, emotionally tormented violinist protagonist of the film "Humoresque," whose passion for music shapes his turbulent personal and professional life.
  • C. Paul Henning
    Paul Henning was an American television and film writer-producer best known for creating the classic sitcom "The Beverly Hillbillies" and shaping 1960s rural comedy on TV.
  • D. Paul Falkenberg
    Paul Falkenberg was a German film editor best known for his influential work on Leni Riefenstahl’s documentary "Olympia."
  • E. Albert Paulsen
    Albert Paulsen was an Ecuadorian-American character actor known for his frequent villainous roles in American film and television during the 1960s and 1970s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd734037a88190a950db814412a023 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9278421c8190b142466c099c7d1c completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.