Triple

T3399638
Position Surface form Disambiguated ID Type / Status
Subject Viktoria Brezhneva E71617 entity
Predicate givenName P17 FINISHED
Object Viktoria
Viktoria is a feminine given name of Latin origin, commonly used in various European countries as a variant of "Victoria."
 E355903 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: Viktoria | Statement: [Viktoria Brezhneva, givenName, Viktoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Viktoria
Context triple: [Viktoria Brezhneva, givenName, Viktoria]
  • A. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • B. Rositsa
    Rositsa is a river in northern Bulgaria that serves as a significant tributary of the Yantra River.
  • C. Aleksandra
    Aleksandra is a feminine given name of Slavic origin, commonly used in various Eastern and Central European countries.
  • D. Romeyka
    Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
  • E. Svetlana
    Svetlana is a feminine given name of Slavic origin, most notably borne by Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin.
  • 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: Viktoria
Triple: [Viktoria Brezhneva, givenName, Viktoria]
Generated description
Viktoria is a feminine given name of Latin origin, commonly used in various European countries as a variant of "Victoria."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Viktoria
Target entity description: Viktoria is a feminine given name of Latin origin, commonly used in various European countries as a variant of "Victoria."
  • A. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • B. Rositsa
    Rositsa is a river in northern Bulgaria that serves as a significant tributary of the Yantra River.
  • C. Aleksandra
    Aleksandra is a feminine given name of Slavic origin, commonly used in various Eastern and Central European countries.
  • D. Romeyka
    Romeyka is an endangered Greek dialect spoken mainly in northeastern Turkey, notable for preserving many archaic features of Ancient Greek.
  • E. Svetlana
    Svetlana is a feminine given name of Slavic origin, most notably borne by Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8c6b2b08190a307e33c74cf21ad completed March 8, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd01e108190995dcd3cb8ead793 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e4792608190b74e02e065d4bc68 completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b3525f44948190af72b177193edca4 completed March 12, 2026, 11:55 p.m.
Created at: March 8, 2026, 3:14 p.m.