Triple

T17788931
Position Surface form Disambiguated ID Type / Status
Subject Jerome Boger E444099 entity
Predicate familyName P18 FINISHED
Object Boger
Boger is a surname most notably associated with Jerome Boger, a former National Football League referee.
 E1288570 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: Boger | Statement: [Jerome Boger, familyName, Boger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Boger
Context triple: [Jerome Boger, familyName, Boger]
  • A. Boggs
    Boggs is a surname most notably associated with American politician Hale Boggs, who served as a prominent Democratic leader in the U.S. House of Representatives.
  • B. Boog
    Boog is the nickname of Boog Powell, a former Major League Baseball first baseman best known for his power hitting with the Baltimore Orioles in the 1960s and 1970s.
  • C. Bogar
    Bogar is a revered Tamil Siddhar, alchemist, and mystic traditionally credited with esoteric yogic practices, medicinal formulations, and the crafting of sacred idols in South Indian spiritual lore.
  • D. Bage
    Bage is a river in southern France that serves as one of the main tributaries feeding the Lac de Pareloup reservoir.
  • E. Boøwy
    Boøwy was a highly influential Japanese rock band from the 1980s known for pioneering the visual and musical style that shaped Japan’s modern rock scene.
  • 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: Boger
Triple: [Jerome Boger, familyName, Boger]
Generated description
Boger is a surname most notably associated with Jerome Boger, a former National Football League referee.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Boger
Target entity description: Boger is a surname most notably associated with Jerome Boger, a former National Football League referee.
  • A. Boggs
    Boggs is a surname most notably associated with American politician Hale Boggs, who served as a prominent Democratic leader in the U.S. House of Representatives.
  • B. Boog
    Boog is the nickname of Boog Powell, a former Major League Baseball first baseman best known for his power hitting with the Baltimore Orioles in the 1960s and 1970s.
  • C. Bogar
    Bogar is a revered Tamil Siddhar, alchemist, and mystic traditionally credited with esoteric yogic practices, medicinal formulations, and the crafting of sacred idols in South Indian spiritual lore.
  • D. Bage
    Bage is a river in southern France that serves as one of the main tributaries feeding the Lac de Pareloup reservoir.
  • E. Boøwy
    Boøwy was a highly influential Japanese rock band from the 1980s known for pioneering the visual and musical style that shaped Japan’s modern rock scene.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4879524bc819090855ab5248c73db completed April 19, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f83854388190bfa27b6adbf2b364 completed May 12, 2026, 9:51 a.m.
NEDg Description generation batch_6a02f9e9f38c81908de58994c086b52f completed May 12, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_6a02fadc5d4481908f7e7139a83c02bc completed May 12, 2026, 10:03 a.m.
Created at: April 10, 2026, 10:12 a.m.