Triple

T4781424
Position Surface form Disambiguated ID Type / Status
Subject Alfréd E106173 entity
Predicate hasCognate P2525 FINISHED
Object Alfrid
Alfrid is a masculine given name of Germanic origin, commonly associated with medieval and fantasy settings.
 E470791 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: Alfrid | Statement: [Alfréd, hasCognate, Alfrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alfrid
Context triple: [Alfréd, hasCognate, Alfrid]
  • A. Wilfred the Hairy
    Wilfred the Hairy was a 9th-century Catalan nobleman and count who played a key role in consolidating and Christianizing the counties that became the core of medieval Catalonia.
  • B. Wilfred
    Wilfred is a masculine given name of English origin, notably borne by the World War I poet Wilfred Owen.
  • C. Cynric of Wessex
    Cynric of Wessex was an early 6th-century Anglo-Saxon ruler traditionally regarded as one of the first kings of Wessex and a key figure in the establishment of the West Saxon kingdom in southern England.
  • D. 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.
  • E. Ivar
    Ivar is a masculine given name of Old Norse origin, traditionally used in Scandinavian countries.
  • 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: Alfrid
Triple: [Alfréd, hasCognate, Alfrid]
Generated description
Alfrid is a masculine given name of Germanic origin, commonly associated with medieval and fantasy settings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alfrid
Target entity description: Alfrid is a masculine given name of Germanic origin, commonly associated with medieval and fantasy settings.
  • A. Wilfred the Hairy
    Wilfred the Hairy was a 9th-century Catalan nobleman and count who played a key role in consolidating and Christianizing the counties that became the core of medieval Catalonia.
  • B. Wilfred
    Wilfred is a masculine given name of English origin, notably borne by the World War I poet Wilfred Owen.
  • C. Cynric of Wessex
    Cynric of Wessex was an early 6th-century Anglo-Saxon ruler traditionally regarded as one of the first kings of Wessex and a key figure in the establishment of the West Saxon kingdom in southern England.
  • D. 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.
  • E. Ivar
    Ivar is a masculine given name of Old Norse origin, traditionally used in Scandinavian countries.
  • 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65aa577c81909ec1b94e47810169 completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43d371b081908142e6d66780e0f0 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be46f9aa048190a5d0ada90ee57451 completed March 21, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_69be481013c08190b36304044a16c5f4 completed March 21, 2026, 7:26 a.m.
Created at: March 20, 2026, 1:21 p.m.