Triple

T5961711
Position Surface form Disambiguated ID Type / Status
Subject Uncle Vanya E132652 entity
Predicate character P662 FINISHED
Object Sonya
Sonya is a central, selfless and emotionally resilient young woman in Anton Chekhov’s play "Uncle Vanya," embodying unrequited love and quiet endurance amid family turmoil.
 E567870 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: Sonya | Statement: [Uncle Vanya, character, Sonya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sonya
Context triple: [Uncle Vanya, character, Sonya]
  • A. Sonya
    Sonya is a gentle, selfless young woman in Leo Tolstoy’s novel "War and Peace," known for her unrequited love and quiet loyalty to the Rostov family.
  • B. Sonia
    Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
  • C. Sonia
    Sonia is the given name of Sonia Gandhi, an Italian-born Indian politician and former president of the Indian National Congress.
  • D. Natalya
    Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
  • E. Aloysya
    Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
  • 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: Sonya
Triple: [Uncle Vanya, character, Sonya]
Generated description
Sonya is a central, selfless and emotionally resilient young woman in Anton Chekhov’s play "Uncle Vanya," embodying unrequited love and quiet endurance amid family turmoil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sonya
Target entity description: Sonya is a central, selfless and emotionally resilient young woman in Anton Chekhov’s play "Uncle Vanya," embodying unrequited love and quiet endurance amid family turmoil.
  • A. Sonya
    Sonya is a gentle, selfless young woman in Leo Tolstoy’s novel "War and Peace," known for her unrequited love and quiet loyalty to the Rostov family.
  • B. Sonia
    Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
  • C. Sonia
    Sonia is the given name of Sonia Gandhi, an Italian-born Indian politician and former president of the Indian National Congress.
  • D. Natalya
    Natalya is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Latin name Natalia.
  • E. Aloysya
    Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
  • 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_69c0086c2364819091e9fe2f58fa2517 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039ff421c819085fc92f0b707d31b completed March 22, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12505bb8c8190a2f509e9615d0dcd completed March 23, 2026, 11:33 a.m.
NEDg Description generation batch_69c12605b8148190967526967a8a1231 completed March 23, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69c126c641448190a826c213e8ab05af completed March 23, 2026, 11:40 a.m.
Created at: March 22, 2026, 4:02 p.m.