Triple

T13085993
Position Surface form Disambiguated ID Type / Status
Subject Baklanov E310337 entity
Predicate hasFeminineForm P1613 FINISHED
Object Baklanova
Baklanova is a Russian feminine surname, typically derived from the masculine form Baklanov.
E1021127 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: Baklanova | Statement: [Baklanov, hasFeminineForm, Baklanova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baklanova
Context triple: [Baklanov, hasFeminineForm, Baklanova]
  • A. Bashkirova
    Bashkirova is a Russian-language surname commonly associated with individuals of Slavic origin.
  • B. Karsavina
    Karsavina is the surname of Tamara Karsavina, a renowned Russian prima ballerina of the early 20th century.
  • C. Volkova
    Volkova is a Russian surname commonly borne by individuals of Slavic origin, including notable figures in politics, arts, and sciences.
  • D. Tarasova
    Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
  • E. Korotkova
    Korotkova is the family name of Kira Muratova, the acclaimed Soviet and Ukrainian film director and screenwriter.
  • 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: Baklanova
Triple: [Baklanov, hasFeminineForm, Baklanova]
Generated description
Baklanova is a Russian feminine surname, typically derived from the masculine form Baklanov.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baklanova
Target entity description: Baklanova is a Russian feminine surname, typically derived from the masculine form Baklanov.
  • A. Bashkirova
    Bashkirova is a Russian-language surname commonly associated with individuals of Slavic origin.
  • B. Karsavina
    Karsavina is the surname of Tamara Karsavina, a renowned Russian prima ballerina of the early 20th century.
  • C. Volkova
    Volkova is a Russian surname commonly borne by individuals of Slavic origin, including notable figures in politics, arts, and sciences.
  • D. Tarasova
    Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
  • E. Korotkova
    Korotkova is the family name of Kira Muratova, the acclaimed Soviet and Ukrainian film director and screenwriter.
  • 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_69d806a733548190989cfd4ce981ca33 completed April 9, 2026, 8:05 p.m.
NER Named-entity recognition batch_69d981361e8c819099376435aa3a7aa3 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61060188190911eb3e135dc25ac completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6dae595908190b27980e48514cda5 completed May 3, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_69f6db8f68a4819091d8e67d9c8eec81 completed May 3, 2026, 5:22 a.m.
Created at: April 9, 2026, 9:02 p.m.