Triple

T14212406
Position Surface form Disambiguated ID Type / Status
Subject Egan E352263 entity
Predicate hasVariant P455 FINISHED
Object Egen
Egen is a variant form of the name Egan, which is of Irish origin and typically used as a surname or given name.
 E1085951 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: Egen | Statement: [Egan, hasVariant, Egen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Egen
Context triple: [Egan, hasVariant, Egen]
  • A. Egvekinot
    Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
  • B. Ecker
    Ecker is a river in central Germany that serves as a tributary of the Oker, flowing through the Harz region.
  • C. Ehden
    Ehden is a mountainous town and summer resort in northern Lebanon known for its cool climate, historic churches, and proximity to the Horsh Ehden Nature Reserve.
  • D. Enerhen
    Enerhen is a town in Delta State, Nigeria, situated within the Udu area of the Warri metropolitan region and known for its role in the local oil and gas economy.
  • E. Elke
    Elke is a feminine given name of German origin commonly used in German-speaking 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: Egen
Triple: [Egan, hasVariant, Egen]
Generated description
Egen is a variant form of the name Egan, which is of Irish origin and typically used as a surname or given name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Egen
Target entity description: Egen is a variant form of the name Egan, which is of Irish origin and typically used as a surname or given name.
  • A. Egvekinot
    Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
  • B. Ecker
    Ecker is a river in central Germany that serves as a tributary of the Oker, flowing through the Harz region.
  • C. Ehden
    Ehden is a mountainous town and summer resort in northern Lebanon known for its cool climate, historic churches, and proximity to the Horsh Ehden Nature Reserve.
  • D. Enerhen
    Enerhen is a town in Delta State, Nigeria, situated within the Udu area of the Warri metropolitan region and known for its role in the local oil and gas economy.
  • E. Elke
    Elke is a feminine given name of German origin commonly used in German-speaking 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620dba0c8190bb77a1df10e1d3a7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19574280819091bafd95a75983bf completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1a231cbc819083d38e25073892bf completed May 7, 2026, 11:02 p.m.
NED2 Entity disambiguation (via description) batch_69fd1ada47788190afcf8078d76ef339 completed May 7, 2026, 11:06 p.m.
Created at: April 10, 2026, 1:05 a.m.