Triple

T20077250
Position Surface form Disambiguated ID Type / Status
Subject Aymani Kadyrova E499900 entity
Predicate familyName P18 FINISHED
Object Kadyrova
Kadyrova is a Chechen surname most prominently associated with the family of Ramzan Kadyrov, the head of the Chechen Republic.
E1411886 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: Kadyrova | Statement: [Aymani Kadyrova, familyName, Kadyrova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kadyrova
Context triple: [Aymani Kadyrova, familyName, Kadyrova]
  • A. Khodchenkova
    Khodchenkova is the surname of Russian actress Svetlana Khodchenkova, known for her work in both Russian cinema and international films.
  • B. Korotkova
    Korotkova is the family name of Kira Muratova, the acclaimed Soviet and Ukrainian film director and screenwriter.
  • C. Kamarinskaya
    Kamarinskaya is an 1848 orchestral work by Mikhail Glinka, often regarded as a pioneering piece in Russian symphonic music for its use of folk themes.
  • D. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • E. Yakushova
    Yakushova is a Russian surname, notably borne by Nina Ivanovna Yakushova.
  • 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: Kadyrova
Triple: [Aymani Kadyrova, familyName, Kadyrova]
Generated description
Kadyrova is a Chechen surname most prominently associated with the family of Ramzan Kadyrov, the head of the Chechen Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kadyrova
Target entity description: Kadyrova is a Chechen surname most prominently associated with the family of Ramzan Kadyrov, the head of the Chechen Republic.
  • A. Khodchenkova
    Khodchenkova is the surname of Russian actress Svetlana Khodchenkova, known for her work in both Russian cinema and international films.
  • B. Korotkova
    Korotkova is the family name of Kira Muratova, the acclaimed Soviet and Ukrainian film director and screenwriter.
  • C. Kamarinskaya
    Kamarinskaya is an 1848 orchestral work by Mikhail Glinka, often regarded as a pioneering piece in Russian symphonic music for its use of folk themes.
  • D. Ulyanova
    Ulyanova is a Russian surname most notably borne by the family of Vladimir Lenin, including his sister Maria Ulyanova.
  • E. Yakushova
    Yakushova is a Russian surname, notably borne by Nina Ivanovna Yakushova.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643d5238819098b7d4e4e2c8dd67 completed April 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082702c1a48190a2dbdaff315809ff completed May 16, 2026, 8:12 a.m.
NEDg Description generation batch_6a0828d0412c81909813c9a889e2c983 completed May 16, 2026, 8:20 a.m.
NED2 Entity disambiguation (via description) batch_6a08293466448190b5bcd7d0b7dbe143 completed May 16, 2026, 8:22 a.m.
Created at: April 11, 2026, 3:40 p.m.