Triple

T15422213
Position Surface form Disambiguated ID Type / Status
Subject Vilner E369408 entity
Predicate variantOf P4680 FINISHED
Object Wilner
Wilner is a surname of likely Ashkenazi Jewish origin, often associated with families historically linked to the city of Vilna (Vilnius).
 E1155744 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: Wilner | Statement: [Vilner, variantOf, Wilner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wilner
Context triple: [Vilner, variantOf, Wilner]
  • A. Waner
    Waner is a surname most notably associated with Baseball Hall of Famer Paul Waner, a star outfielder for the Pittsburgh Pirates in the early 20th century.
  • B. Wilkin
    Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
  • C. Winkleman
    Winkleman is a surname most notably associated with British actress Sophie Winkleman and her extended family, which includes media and entertainment figures.
  • D. Goldshteyn
    Goldshteyn is a variant spelling of the Jewish surname Goldstein, commonly found in Russian and Yiddish transliterations.
  • E. Wilsen
    Wilsen is a variant form of the given name Wilson, used as a personal name or surname.
  • 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: Wilner
Triple: [Vilner, variantOf, Wilner]
Generated description
Wilner is a surname of likely Ashkenazi Jewish origin, often associated with families historically linked to the city of Vilna (Vilnius).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wilner
Target entity description: Wilner is a surname of likely Ashkenazi Jewish origin, often associated with families historically linked to the city of Vilna (Vilnius).
  • A. Waner
    Waner is a surname most notably associated with Baseball Hall of Famer Paul Waner, a star outfielder for the Pittsburgh Pirates in the early 20th century.
  • B. Wilkin
    Wilkin is a medieval English given name that originated as a diminutive form of William and later gave rise to the surname Wilkinson.
  • C. Winkleman
    Winkleman is a surname most notably associated with British actress Sophie Winkleman and her extended family, which includes media and entertainment figures.
  • D. Goldshteyn
    Goldshteyn is a variant spelling of the Jewish surname Goldstein, commonly found in Russian and Yiddish transliterations.
  • E. Wilsen
    Wilsen is a variant form of the given name Wilson, used as a personal name or surname.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ebe7b1081908e6b9e6e128a8d5d completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7d02a08190a1e34e3a014acea9 completed May 9, 2026, 11:29 a.m.
NEDg Description generation batch_69ff1b3c563481908418411a977df343 completed May 9, 2026, 11:32 a.m.
NED2 Entity disambiguation (via description) batch_69ff1c0ad5448190903dc38f78512f3b completed May 9, 2026, 11:35 a.m.
Created at: April 10, 2026, 3:20 a.m.