Triple

T4039395
Position Surface form Disambiguated ID Type / Status
Subject Stephen E83906 entity
Predicate hasVariant P455 FINISHED
Object Stephan
Stephan is a masculine given name, commonly used in German- and Dutch-speaking countries, that is a variant of the name Stephen.
 E408420 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: Stephan | Statement: [Stephen, hasVariant, Stephan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stephan
Context triple: [Stephen, hasVariant, Stephan]
  • A. Stefan Rafael Benjamin
    Stefan Rafael Benjamin was the son of the German Jewish philosopher and cultural critic Walter Benjamin.
  • B. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • C. Emanuel
    Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
  • D. Stephanus
    Stephanus is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • E. Adelbert
    Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
  • 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: Stephan
Triple: [Stephen, hasVariant, Stephan]
Generated description
Stephan is a masculine given name, commonly used in German- and Dutch-speaking countries, that is a variant of the name Stephen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stephan
Target entity description: Stephan is a masculine given name, commonly used in German- and Dutch-speaking countries, that is a variant of the name Stephen.
  • A. Stefan Rafael Benjamin
    Stefan Rafael Benjamin was the son of the German Jewish philosopher and cultural critic Walter Benjamin.
  • B. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • C. Emanuel
    Emanuel is a surname most prominently associated with Rahm Emanuel, the American politician and former mayor of Chicago.
  • D. Stephanus
    Stephanus is the given first name of Paul Kruger, the prominent 19th-century Boer leader and president of the South African Republic.
  • E. Adelbert
    Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb37e24c81908d6357ab8ba5388d completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55646e5d881909eadd0640a4f1796 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b556fec4708190b221893ec35f1a38 completed March 14, 2026, 12:39 p.m.
NED2 Entity disambiguation (via description) batch_69b557f73cbc8190b904089ab0fa97d6 completed March 14, 2026, 12:43 p.m.
Created at: March 9, 2026, 3:37 p.m.