Triple

T2286751
Position Surface form Disambiguated ID Type / Status
Subject Frederick Buechner E51407 entity
Predicate notableWork P4 FINISHED
Object Godric
Godric is a 1980 historical novel by Frederick Buechner that fictionalizes the life and spiritual journey of the medieval English saint Godric of Finchale.
E253000 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: Godric | Statement: [Frederick Buechner, notableWork, Godric]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Godric
Context triple: [Frederick Buechner, notableWork, Godric]
  • A. Thorold
    Thorold is a small city in Ontario, Canada, located in the Niagara Region and known for its historic Welland Canal infrastructure.
  • B. Botwulf
    Botwulf is an alternate name for Saint Botolph, a 7th-century English abbot venerated as the patron saint of travelers and various East Anglian towns.
  • C. Godfrey
    Godfrey is the given name of the influential British mathematician G. H. Hardy, renowned for his work in number theory and mathematical analysis.
  • D. Gunnar
    Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
  • E. Wilfred
    Wilfred is a masculine given name of English origin, notably borne by the World War I poet Wilfred Owen.
  • 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: Godric
Triple: [Frederick Buechner, notableWork, Godric]
Generated description
Godric is a 1980 historical novel by Frederick Buechner that fictionalizes the life and spiritual journey of the medieval English saint Godric of Finchale.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Godric
Target entity description: Godric is a 1980 historical novel by Frederick Buechner that fictionalizes the life and spiritual journey of the medieval English saint Godric of Finchale.
  • A. Thorold
    Thorold is a small city in Ontario, Canada, located in the Niagara Region and known for its historic Welland Canal infrastructure.
  • B. Botwulf
    Botwulf is an alternate name for Saint Botolph, a 7th-century English abbot venerated as the patron saint of travelers and various East Anglian towns.
  • C. Godfrey
    Godfrey is the given name of the influential British mathematician G. H. Hardy, renowned for his work in number theory and mathematical analysis.
  • D. Gunnar
    Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
  • E. Wilfred
    Wilfred is a masculine given name of English origin, notably borne by the World War I poet Wilfred Owen.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc24730208190af8a5cf443d334f7 completed March 7, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f1b2a7c8190aa836f9feba2ce1a completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae8004fb6c81908f9fb1678f608419 completed March 9, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69ae809ebfdc8190ae404d5711a58b59 completed March 9, 2026, 8:11 a.m.
Created at: March 4, 2026, 7:48 p.m.