Triple

T23134946
Position Surface form Disambiguated ID Type / Status
Subject Alexander Villoing E577286 entity
Predicate familyName P18 FINISHED
Object Villoing
Villoing is a Russian surname most notably associated with Alexander Villoing, a 19th-century pianist and composer.
E1574555 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: Villoing | Statement: [Alexander Villoing, familyName, Villoing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villoing
Context triple: [Alexander Villoing, familyName, Villoing]
  • A. Vallangoujard
    Vallangoujard is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • B. Vilaine
    The Vilaine is a major river in western France that flows through the city of Rennes before emptying into the Atlantic Ocean.
  • C. Bivin of Gorze
    Bivin of Gorze was a 9th-century Frankish nobleman and courtier who became a key progenitor of the influential Bosonid dynasty in the Carolingian realm.
  • D. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • E. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • 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: Villoing
Triple: [Alexander Villoing, familyName, Villoing]
Generated description
Villoing is a Russian surname most notably associated with Alexander Villoing, a 19th-century pianist and composer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Villoing
Target entity description: Villoing is a Russian surname most notably associated with Alexander Villoing, a 19th-century pianist and composer.
  • A. Vallangoujard
    Vallangoujard is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • B. Vilaine
    The Vilaine is a major river in western France that flows through the city of Rennes before emptying into the Atlantic Ocean.
  • C. Bivin of Gorze
    Bivin of Gorze was a 9th-century Frankish nobleman and courtier who became a key progenitor of the influential Bosonid dynasty in the Carolingian realm.
  • D. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • E. Greuze
    Greuze is a French surname most famously associated with Jean-Baptiste Greuze, an 18th-century painter known for his sentimental and moralizing genre scenes.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8ab9b08190969984f8c4494b0f completed April 29, 2026, 4:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c308901088190a3dd91561a5c123f completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c3468ecf48190ae05d776b6b472c6 completed May 19, 2026, 9:59 a.m.
NED2 Entity disambiguation (via description) batch_6a0c34b344248190a6f1b34dede10db1 completed May 19, 2026, 10 a.m.
Created at: April 17, 2026, 4 p.m.