Triple

T15721022
Position Surface form Disambiguated ID Type / Status
Subject Prince Ivan Nikitich Odoevsky E381092 entity
Predicate patronymicName P7966 FINISHED
Object Nikitich
Nikitich is a Russian patronymic indicating "son of Nikita," commonly used as a middle name in Russian naming conventions.
E1173110 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: Nikitich | Statement: [Prince Ivan Nikitich Odoevsky, patronymicName, Nikitich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikitich
Context triple: [Prince Ivan Nikitich Odoevsky, patronymicName, Nikitich]
  • A. Nikitin
    Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
  • B. Nikolassee
    Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
  • C. Nikolayeva
    Nikolayeva is a Russian surname most notably associated with the acclaimed Soviet pianist and composer Tatiana Nikolayeva.
  • D. Nikiti
    Nikiti is a coastal town and popular tourist resort on the Sithonia peninsula in northern Greece’s Chalkidiki region.
  • E. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • 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: Nikitich
Triple: [Prince Ivan Nikitich Odoevsky, patronymicName, Nikitich]
Generated description
Nikitich is a Russian patronymic indicating "son of Nikita," commonly used as a middle name in Russian naming conventions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nikitich
Target entity description: Nikitich is a Russian patronymic indicating "son of Nikita," commonly used as a middle name in Russian naming conventions.
  • A. Nikitin
    Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
  • B. Nikolassee
    Nikolassee is a residential locality in southwestern Berlin known for its lakeside setting, green spaces, and villa-style neighborhoods.
  • C. Nikolayeva
    Nikolayeva is a Russian surname most notably associated with the acclaimed Soviet pianist and composer Tatiana Nikolayeva.
  • D. Nikiti
    Nikiti is a coastal town and popular tourist resort on the Sithonia peninsula in northern Greece’s Chalkidiki region.
  • E. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb0b51081908e652ec4992296fa completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75852cf88190be054160d5cbc675 completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff783a84308190baffa6bbdfa56093 completed May 9, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69ff78f94c048190adbe51f2cf76a2e6 completed May 9, 2026, 6:12 p.m.
Created at: April 10, 2026, 4:45 a.m.