Triple

T10155286
Position Surface form Disambiguated ID Type / Status
Subject Elisabeta E232759 entity
Predicate isCognateOf P2527 FINISHED
Object Elisaveta
Elisaveta is a feminine given name of Slavic origin, commonly used in Eastern Europe as a variant of Elizabeth.
E843649 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: Elisaveta | Statement: [Elisabeta, isCognateOf, Elisaveta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisaveta
Context triple: [Elisabeta, isCognateOf, Elisaveta]
  • A. Yekaterina
    Yekaterina is a common Russian female given name, equivalent to Catherine in English.
  • B. Elena Glinskaya
    Elena Glinskaya was a Russian regent and noblewoman best known as the second wife of Grand Prince Vasili III of Russia and the mother of Ivan the Terrible.
  • C. Aleksandra
    Aleksandra is a feminine given name of Slavic origin, commonly used in various Eastern and Central European countries.
  • D. Tsesarevna of Russia
    Tsesarevna of Russia was the title traditionally borne by the daughters or female-line heirs of a Russian tsar, denoting their status as imperial princesses in the Russian monarchy.
  • E. Praskovia Ivanovna of Russia
    Praskovia Ivanovna of Russia was a Russian tsarevna, daughter of Tsar Ivan V and a member of the Romanov dynasty in the late 17th and early 18th centuries.
  • 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: Elisaveta
Triple: [Elisabeta, isCognateOf, Elisaveta]
Generated description
Elisaveta is a feminine given name of Slavic origin, commonly used in Eastern Europe as a variant of Elizabeth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Elisaveta
Target entity description: Elisaveta is a feminine given name of Slavic origin, commonly used in Eastern Europe as a variant of Elizabeth.
  • A. Yekaterina
    Yekaterina is a common Russian female given name, equivalent to Catherine in English.
  • B. Elena Glinskaya
    Elena Glinskaya was a Russian regent and noblewoman best known as the second wife of Grand Prince Vasili III of Russia and the mother of Ivan the Terrible.
  • C. Aleksandra
    Aleksandra is a feminine given name of Slavic origin, commonly used in various Eastern and Central European countries.
  • D. Tsesarevna of Russia
    Tsesarevna of Russia was the title traditionally borne by the daughters or female-line heirs of a Russian tsar, denoting their status as imperial princesses in the Russian monarchy.
  • E. Praskovia Ivanovna of Russia
    Praskovia Ivanovna of Russia was a Russian tsarevna, daughter of Tsar Ivan V and a member of the Romanov dynasty in the late 17th and early 18th centuries.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec3a5e7c819098b2f9ccbde7cf94 completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e6541e488190814e6395f219eb12 completed April 5, 2026, 10:46 p.m.
NEDg Description generation batch_69d2e7408e58819083c43e334a87a09f completed April 5, 2026, 10:50 p.m.
NED2 Entity disambiguation (via description) batch_69d2e7b854d08190ac2af642970b7f09 completed April 5, 2026, 10:52 p.m.
Created at: March 30, 2026, 9:09 p.m.