Triple

T10501090
Position Surface form Disambiguated ID Type / Status
Subject Alfege of Canterbury E247673 entity
Predicate givenName P17 FINISHED
Object Alfege
Alfege is an Anglo-Saxon saint and Archbishop of Canterbury, venerated for his martyrdom after refusing to allow a ransom to be paid for his release from Viking captors.
 E867299 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: Alfege | Statement: [Alfege of Canterbury, givenName, Alfege]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alfege
Context triple: [Alfege of Canterbury, givenName, Alfege]
  • A. Allfrey
    Allfrey is an English surname borne by various notable individuals, including military figures and writers.
  • B. Foulke
    Foulke is a surname most notably associated with former Major League Baseball relief pitcher Keith Foulke.
  • C. Galfard
    Galfard is the surname of Christophe Galfard, a French theoretical physicist and science communicator known for his popular science books.
  • D. Fages
    Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
  • E. Arvegil
    Arvegil is a fictional Dúnedain king of Arnor in J.R.R. Tolkien’s legendarium, descended from Isildur.
  • 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: Alfege
Triple: [Alfege of Canterbury, givenName, Alfege]
Generated description
Alfege is an Anglo-Saxon saint and Archbishop of Canterbury, venerated for his martyrdom after refusing to allow a ransom to be paid for his release from Viking captors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alfege
Target entity description: Alfege is an Anglo-Saxon saint and Archbishop of Canterbury, venerated for his martyrdom after refusing to allow a ransom to be paid for his release from Viking captors.
  • A. Allfrey
    Allfrey is an English surname borne by various notable individuals, including military figures and writers.
  • B. Foulke
    Foulke is a surname most notably associated with former Major League Baseball relief pitcher Keith Foulke.
  • C. Galfard
    Galfard is the surname of Christophe Galfard, a French theoretical physicist and science communicator known for his popular science books.
  • D. Fages
    Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
  • E. Arvegil
    Arvegil is a fictional Dúnedain king of Arnor in J.R.R. Tolkien’s legendarium, descended from Isildur.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5099b797c8190a94803fa94eb6981 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dccec72481909bcfb6a9c5df7ba9 completed April 10, 2026, 11:19 a.m.
NEDg Description generation batch_69d8e8c9d5cc8190a425ed834855bbcd completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901fecee88190999e88ca2e56a516 completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:25 p.m.