Triple

T4560433
Position Surface form Disambiguated ID Type / Status
Subject Galina Ulanova E120577 entity
Predicate familyName P18 FINISHED
Object Ulanova
Ulanova is a Russian surname most famously associated with Galina Ulanova, one of the greatest ballerinas of the 20th century.
 E453377 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: Ulanova | Statement: [Galina Ulanova, familyName, Ulanova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ulanova
Context triple: [Galina Ulanova, familyName, Ulanova]
  • A. Vishneva
    Vishneva is a small historic town in present-day Belarus, known for its multicultural heritage and as the birthplace of Israeli Prime Minister Shimon Peres.
  • B. Galina
    Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • D. Goryacheva
    Goryacheva is a Russian surname borne by various notable individuals in fields such as politics, science, and the arts.
  • E. Ruzan
    Ruzan is a surname most notably associated with American television producer and writer Robin Ruzan.
  • 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: Ulanova
Triple: [Galina Ulanova, familyName, Ulanova]
Generated description
Ulanova is a Russian surname most famously associated with Galina Ulanova, one of the greatest ballerinas of the 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ulanova
Target entity description: Ulanova is a Russian surname most famously associated with Galina Ulanova, one of the greatest ballerinas of the 20th century.
  • A. Vishneva
    Vishneva is a small historic town in present-day Belarus, known for its multicultural heritage and as the birthplace of Israeli Prime Minister Shimon Peres.
  • B. Galina
    Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • D. Goryacheva
    Goryacheva is a Russian surname borne by various notable individuals in fields such as politics, science, and the arts.
  • E. Ruzan
    Ruzan is a surname most notably associated with American television producer and writer Robin Ruzan.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd582b871c8190be0b70c76d639000 completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3aa3b9081908984777207f4040e completed March 20, 2026, 11:09 p.m.
NEDg Description generation batch_69bdd4b703748190a17cf4f02456c39a completed March 20, 2026, 11:13 p.m.
NED2 Entity disambiguation (via description) batch_69bdd548ea348190818f4335b8ebad2e completed March 20, 2026, 11:16 p.m.
Created at: March 20, 2026, 1:09 p.m.