Triple

T8440785
Position Surface form Disambiguated ID Type / Status
Subject Nina Sosanya E199345 entity
Predicate familyName P18 FINISHED
Object Sosanya
Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
 E733552 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: Sosanya | Statement: [Nina Sosanya, familyName, Sosanya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sosanya
Context triple: [Nina Sosanya, familyName, Sosanya]
  • A. Sosruqo
    Sosruqo is a fiery, trickster hero of the Caucasian Nart sagas, known for his cunning exploits and semi-divine origins.
  • B. Sorya
    Sorya is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
  • C. Sovana
    Sovana is a small medieval village in southern Tuscany, Italy, renowned for its well-preserved historic center and nearby Etruscan archaeological sites.
  • D. Sanaig
    Sanaig is a core single malt Scotch whisky expression from Islay’s Kilchoman distillery, known for its balance of bourbon and sherry cask influence with a characteristically smoky, coastal profile.
  • E. Soyembika
    Soyembika was a Tatar princess and regent of the Khanate of Kazan in the 16th century, remembered as a symbol of Tatar statehood and resistance.
  • 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: Sosanya
Triple: [Nina Sosanya, familyName, Sosanya]
Generated description
Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sosanya
Target entity description: Sosanya is a surname most notably associated with British actress Nina Sosanya, known for her extensive work in television, film, and theatre.
  • A. Sosruqo
    Sosruqo is a fiery, trickster hero of the Caucasian Nart sagas, known for his cunning exploits and semi-divine origins.
  • B. Sorya
    Sorya is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
  • C. Sovana
    Sovana is a small medieval village in southern Tuscany, Italy, renowned for its well-preserved historic center and nearby Etruscan archaeological sites.
  • D. Sanaig
    Sanaig is a core single malt Scotch whisky expression from Islay’s Kilchoman distillery, known for its balance of bourbon and sherry cask influence with a characteristically smoky, coastal profile.
  • E. Soyembika
    Soyembika was a Tatar princess and regent of the Khanate of Kazan in the 16th century, remembered as a symbol of Tatar statehood and resistance.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe138a94081908e306d22aaa39b24 completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d9140b48190ad0c493948a3de5e completed April 2, 2026, 7:41 a.m.
NEDg Description generation batch_69ce1f12e1a081909d28b06c520353ef completed April 2, 2026, 7:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce1fb498448190a2737b8895f6bb48 completed April 2, 2026, 7:50 a.m.
Created at: March 30, 2026, 6:08 p.m.