Triple

T2874031
Position Surface form Disambiguated ID Type / Status
Subject Vladimir E56831 entity
Predicate hasFeminineForm P1613 FINISHED
Object Vladimira
Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
 E307334 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: Vladimira | Statement: [Vladimir, hasFeminineForm, Vladimira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vladimira
Context triple: [Vladimir, hasFeminineForm, Vladimira]
  • A. Lopokova
    Lopokova is the surname of Lydia Lopokova, a renowned Russian ballerina associated with the Ballets Russes and later known for her marriage to economist John Maynard Keynes.
  • B. Romeyka
    Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
  • C. Zhdanova
    Zhdanova is a Russian-language surname commonly borne by women and associated with several notable figures in Russian and post-Soviet public life.
  • D. Aleksandra
    Aleksandra is a feminine given name of Slavic origin, commonly used in various Eastern and Central European countries.
  • E. Ivanova
    Ivanova is a common Slavic surname, particularly prevalent in Russia and other Eastern European countries, typically indicating female lineage from someone named Ivan.
  • 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: Vladimira
Triple: [Vladimir, hasFeminineForm, Vladimira]
Generated description
Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vladimira
Target entity description: Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • A. Lopokova
    Lopokova is the surname of Lydia Lopokova, a renowned Russian ballerina associated with the Ballets Russes and later known for her marriage to economist John Maynard Keynes.
  • B. Romeyka
    Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
  • C. Zhdanova
    Zhdanova is a Russian-language surname commonly borne by women and associated with several notable figures in Russian and post-Soviet public life.
  • D. Aleksandra
    Aleksandra is a feminine given name of Slavic origin, commonly used in various Eastern and Central European countries.
  • E. Ivanova
    Ivanova is a common Slavic surname, particularly prevalent in Russia and other Eastern European countries, typically indicating female lineage from someone named Ivan.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe0032ddc8190bb4d15ec7e3c63e8 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03153b5048190925bfacc07f2db66 completed March 10, 2026, 2:57 p.m.
NEDg Description generation batch_69b031d1f4d88190a9a77db5a6b02d89 completed March 10, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69b034eded648190a6b1d00aaa2a61f2 completed March 10, 2026, 3:12 p.m.
Created at: March 6, 2026, 10:03 p.m.