Triple

T10036839
Position Surface form Disambiguated ID Type / Status
Subject Anne Wiazemsky E205191 entity
Predicate familyName P18 FINISHED
Object Wiazemsky
Wiazemsky is a French surname most notably associated with actress and novelist Anne Wiazemsky, known for her work in 1960s and 1970s European cinema and literature.
 E838014 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: Wiazemsky | Statement: [Anne Wiazemsky, familyName, Wiazemsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wiazemsky
Context triple: [Anne Wiazemsky, familyName, Wiazemsky]
  • A. Kowalik
    Kowalik is a Polish surname, likely of similar origin or family line to the surname Kowalski.
  • B. Wojciechowski
    Wojciechowski is a Polish surname most notably borne by Stanisław Wojciechowski, who served as President of Poland in the early 20th century.
  • C. Wójcicki
    Wójcicki is a Polish surname most notably associated with figures such as Susan Wojcicki, the former CEO of YouTube, and her family.
  • D. Rosovsky
    Rosovsky is a surname of likely Eastern European origin, used as a variant spelling of the family name Rosofsky.
  • E. Polba
    Polba is a small town located in the Hooghly district of the Indian state of West Bengal.
  • 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: Wiazemsky
Triple: [Anne Wiazemsky, familyName, Wiazemsky]
Generated description
Wiazemsky is a French surname most notably associated with actress and novelist Anne Wiazemsky, known for her work in 1960s and 1970s European cinema and literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wiazemsky
Target entity description: Wiazemsky is a French surname most notably associated with actress and novelist Anne Wiazemsky, known for her work in 1960s and 1970s European cinema and literature.
  • A. Kowalik
    Kowalik is a Polish surname, likely of similar origin or family line to the surname Kowalski.
  • B. Wojciechowski
    Wojciechowski is a Polish surname most notably borne by Stanisław Wojciechowski, who served as President of Poland in the early 20th century.
  • C. Wójcicki
    Wójcicki is a Polish surname most notably associated with figures such as Susan Wojcicki, the former CEO of YouTube, and her family.
  • D. Rosovsky
    Rosovsky is a surname of likely Eastern European origin, used as a variant spelling of the family name Rosofsky.
  • E. Polba
    Polba is a small town located in the Hooghly district of the Indian state of West Bengal.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcede428c8190ae115dc3425f9b0e completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28258ab088190a31ad5854d91193b completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d2867128ec8190a91cfc9def68c2be completed April 5, 2026, 3:57 p.m.
NED2 Entity disambiguation (via description) batch_69d286fdd2c88190b0ce5070c7875dcc completed April 5, 2026, 3:59 p.m.
Created at: March 30, 2026, 8:55 p.m.