Triple

T8469959
Position Surface form Disambiguated ID Type / Status
Subject Komarov E200254 entity
Predicate hasGenderForm P6042 FINISHED
Object Komarova
Komarova is the feminine form of the Russian surname Komarov, commonly borne by women in Russian-speaking countries.
 E737698 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: Komarova | Statement: [Komarov, hasGenderForm, Komarova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Komarova
Context triple: [Komarov, hasGenderForm, Komarova]
  • A. Volkova
    Volkova is a Russian surname commonly borne by individuals of Slavic origin, including notable figures in politics, arts, and sciences.
  • B. Tikhonova
    Tikhonova is a Russian surname most prominently associated with Katerina Tikhonova, a public figure widely reported to be one of Vladimir Putin’s daughters.
  • C. Tarasova
    Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
  • D. Markarova
    Markarova is a Ukrainian surname most notably borne by Oksana Markarova, Ukraine’s former finance minister and current ambassador to the United States.
  • E. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • 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: Komarova
Triple: [Komarov, hasGenderForm, Komarova]
Generated description
Komarova is the feminine form of the Russian surname Komarov, commonly borne by women in Russian-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Komarova
Target entity description: Komarova is the feminine form of the Russian surname Komarov, commonly borne by women in Russian-speaking countries.
  • A. Volkova
    Volkova is a Russian surname commonly borne by individuals of Slavic origin, including notable figures in politics, arts, and sciences.
  • B. Tikhonova
    Tikhonova is a Russian surname most prominently associated with Katerina Tikhonova, a public figure widely reported to be one of Vladimir Putin’s daughters.
  • C. Tarasova
    Tarasova is a Russian surname most prominently associated with Tatiana Tarasova, a renowned figure skating coach and former competitor.
  • D. Markarova
    Markarova is a Ukrainian surname most notably borne by Oksana Markarova, Ukraine’s former finance minister and current ambassador to the United States.
  • E. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d5dd088190a79050417f527f14 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39f45c3081908ea50810f0a386d6 completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3bd6c0c4819099f104c6dbfeef2c completed April 2, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69ce401c4e7081909a5b9fe0c0926114 completed April 2, 2026, 10:08 a.m.
Created at: March 30, 2026, 6:11 p.m.