Triple

T9250589
Position Surface form Disambiguated ID Type / Status
Subject Nikitin E222310 entity
Predicate hasVariantTransliteration P5923 FINISHED
Object Nikitine
Nikitine is a surname of Russian origin, typically a variant transliteration of "Nikitin."
 E222310 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: Nikitine | Statement: [Nikitin, hasVariantTransliteration, Nikitine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nikitine
Context triple: [Nikitin, hasVariantTransliteration, Nikitine]
  • A. Nikitin
    Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
  • B. Chebutykin
    Chebutykin is the aging, disillusioned army doctor whose cynicism and emotional detachment embody the themes of lost hope and stagnation in Anton Chekhov’s play "Three Sisters."
  • C. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • D. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • E. Nikolai
    Nikolai is a recurring Russian ally and pilot in the Call of Duty: Modern Warfare series, known for assisting the main protagonists with transport and intelligence.
  • 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: Nikitine
Triple: [Nikitin, hasVariantTransliteration, Nikitine]
Generated description
Nikitine is a surname of Russian origin, typically a variant transliteration of "Nikitin."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nikitine
Target entity description: Nikitine is a surname of Russian origin, typically a variant transliteration of "Nikitin."
  • A. Nikitin chosen
    Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
  • B. Chebutykin
    Chebutykin is the aging, disillusioned army doctor whose cynicism and emotional detachment embody the themes of lost hope and stagnation in Anton Chekhov’s play "Three Sisters."
  • C. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • D. Yuryatin
    Yuryatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Lara Antipova’s story.
  • E. Nikolai
    Nikolai is a recurring Russian ally and pilot in the Call of Duty: Modern Warfare series, known for assisting the main protagonists with transport and intelligence.
  • F. None of above.

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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f9ade48190ac8425a1c6f066b1 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1d046ac81908deffb4215bbeb82 completed April 4, 2026, 6:38 a.m.
NEDg Description generation batch_69d0b2e45674819091c7e1102c8844a5 completed April 4, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69d0b36590088190a92401d5f6c4c947 completed April 4, 2026, 6:44 a.m.
Created at: March 30, 2026, 7:31 p.m.