Triple

T20214786
Position Surface form Disambiguated ID Type / Status
Subject Ustinov E493589 entity
Predicate hasFeminineForm P1613 FINISHED
Object Ustinova
Ustinova is the feminine form of the Russian surname Ustinov, commonly borne by women in Russian-speaking countries.
E1418569 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: Ustinova | Statement: [Ustinov, hasFeminineForm, Ustinova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ustinova
Context triple: [Ustinov, hasFeminineForm, Ustinova]
  • A. Astankova
    Astankova is a Slavic surname most notably borne by individuals such as Oksana Astankova.
  • B. Ulanova
    Ulanova is a Russian surname most famously associated with Galina Ulanova, one of the greatest ballerinas of the 20th century.
  • C. Kamarinskaya
    Kamarinskaya is an 1848 orchestral work by Mikhail Glinka, often regarded as a pioneering piece in Russian symphonic music for its use of folk themes.
  • D. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • E. Makarova
    Makarova is a Russian surname most prominently associated with the celebrated ballerina and choreographer Natalia Makarova.
  • 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: Ustinova
Triple: [Ustinov, hasFeminineForm, Ustinova]
Generated description
Ustinova is the feminine form of the Russian surname Ustinov, commonly borne by women in Russian-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ustinova
Target entity description: Ustinova is the feminine form of the Russian surname Ustinov, commonly borne by women in Russian-speaking countries.
  • A. Astankova
    Astankova is a Slavic surname most notably borne by individuals such as Oksana Astankova.
  • B. Ulanova
    Ulanova is a Russian surname most famously associated with Galina Ulanova, one of the greatest ballerinas of the 20th century.
  • C. Kamarinskaya
    Kamarinskaya is an 1848 orchestral work by Mikhail Glinka, often regarded as a pioneering piece in Russian symphonic music for its use of folk themes.
  • D. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • E. Makarova
    Makarova is a Russian surname most prominently associated with the celebrated ballerina and choreographer Natalia Makarova.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed8101081908e53a8bde48624b1 completed April 20, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b84a2608190b253bfd8b730fc67 completed May 16, 2026, 10:48 a.m.
NEDg Description generation batch_6a084c041b5c8190881a6d08c4afe42f completed May 16, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a084c7dee808190a0883f7f0c7873a9 completed May 16, 2026, 10:52 a.m.
Created at: April 11, 2026, 11:38 p.m.