Triple

T23501057
Position Surface form Disambiguated ID Type / Status
Subject Hagen E571843 entity
Predicate hasVariant P455 FINISHED
Object Hagens
Hagens is a surname and variant of the name Hagen, borne by various individuals and families, particularly in Germanic and Scandinavian regions.
E1588668 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: Hagens | Statement: [Hagen, hasVariant, Hagens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hagens
Context triple: [Hagen, hasVariant, Hagens]
  • A. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • B. Hauerland
    Hauerland was a historical German-speaking enclave in central Slovakia, settled by Carpathian Germans in the Middle Ages.
  • C. Haeger
    Haeger is a variant spelling of the surname Hager, commonly found in German-speaking and Scandinavian regions.
  • D. Heggenes
    Heggenes is a small village in Innlandet county, Norway, serving as the local hub for services and administration in the Øystre Slidre area.
  • E. Hahn
    Hahn is a surname of German origin borne by various notable individuals across fields such as science, sports, and the arts.
  • 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: Hagens
Triple: [Hagen, hasVariant, Hagens]
Generated description
Hagens is a surname and variant of the name Hagen, borne by various individuals and families, particularly in Germanic and Scandinavian regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hagens
Target entity description: Hagens is a surname and variant of the name Hagen, borne by various individuals and families, particularly in Germanic and Scandinavian regions.
  • A. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • B. Hauerland
    Hauerland was a historical German-speaking enclave in central Slovakia, settled by Carpathian Germans in the Middle Ages.
  • C. Haeger
    Haeger is a variant spelling of the surname Hager, commonly found in German-speaking and Scandinavian regions.
  • D. Heggenes
    Heggenes is a small village in Innlandet county, Norway, serving as the local hub for services and administration in the Øystre Slidre area.
  • E. Hahn
    Hahn is a surname of German origin borne by various notable individuals across fields such as science, sports, and the arts.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fc37908190af86a01ab85737d6 completed April 29, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8275e2bc8190a908d41a9824f2f8 completed May 19, 2026, 3:32 p.m.
NEDg Description generation batch_6a0ca6f229308190bf72b52fd44144d3 completed May 19, 2026, 6:07 p.m.
NED2 Entity disambiguation (via description) batch_6a0ca7e9e9988190ac3bedb9ecb8ce06 completed May 19, 2026, 6:11 p.m.
Created at: April 17, 2026, 6:06 p.m.