Triple

T677562
Position Surface form Disambiguated ID Type / Status
Subject Nikita Khrushchev E13111 entity
Predicate givenName P17 FINISHED
Object Nikita
Nikita is a given name most famously associated with Soviet leader Nikita Khrushchev.
 E83420 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: Nikita | Statement: [Nikita Khrushchev, givenName, Nikita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nikita
Context triple: [Nikita Khrushchev, givenName, Nikita]
  • A. Nikkiya
    Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
  • B. Daughter of the Kremlin
    Daughter of the Kremlin is a memoir by Svetlana Alliluyeva, Joseph Stalin’s daughter, recounting her life inside the Soviet leadership’s inner circle and her eventual break with the regime.
  • C. Yuri
    Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
  • D. Nicol
    Nicol is a Scottish surname most notably associated with former professional footballer and manager Steve Nicol.
  • E. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • 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: Nikita
Triple: [Nikita Khrushchev, givenName, Nikita]
Generated description
Nikita is a given name most famously associated with Soviet leader Nikita Khrushchev.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nikita
Target entity description: Nikita is a given name most famously associated with Soviet leader Nikita Khrushchev.
  • A. Nikkiya
    Nikkiya is an American singer and rapper known for her collaborations in hip-hop and R&B, particularly with producer and artist K.E. on the Track (Keys).
  • B. Daughter of the Kremlin
    Daughter of the Kremlin is a memoir by Svetlana Alliluyeva, Joseph Stalin’s daughter, recounting her life inside the Soviet leadership’s inner circle and her eventual break with the regime.
  • C. Yuri
    Yuri is a common Russian given name, famously borne by Yuri Gagarin, the first human to journey into outer space.
  • D. Nicol
    Nicol is a Scottish surname most notably associated with former professional footballer and manager Steve Nicol.
  • E. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04c89148190b6330e86697bb37b completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a38b188190802394a35c83b10b completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c4482584819083b6b84ae8bf9b26 completed March 2, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_69a5cd4023288190b35ecf295eb58dc1 completed March 2, 2026, 5:47 p.m.
Created at: March 1, 2026, 7:36 p.m.