Triple

T9127500
Position Surface form Disambiguated ID Type / Status
Subject Azimjan Askarov E219001 entity
Predicate familyName P18 FINISHED
Object Askarov
Askarov is a Central Asian surname commonly found in countries such as Kyrgyzstan, Uzbekistan, and Kazakhstan.
 E778317 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: Askarov | Statement: [Azimjan Askarov, familyName, Askarov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Askarov
Context triple: [Azimjan Askarov, familyName, Askarov]
  • A. Arkadi
    Arkadi is a masculine given name of Armenian and Slavic origin, commonly used in Eastern Europe and the Caucasus.
  • B. Azizov
    Azizov is a patronymic-style surname derived from the given name Aziz, commonly found in Central Asian and other Turkic or Slavic-influenced regions.
  • C. Arkadyevich
    Arkadyevich is the patronymic of Stepan Arkadyevich Oblonsky, a central socialite and bureaucratic character in Leo Tolstoy’s novel "Anna Karenina."
  • D. Kirilov
    Kirilov is a philosophical and tormented character in Fyodor Dostoevsky’s novel "Demons," known for his radical ideas about freedom, God, and suicide.
  • E. Pozdnyshev
    Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
  • 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: Askarov
Triple: [Azimjan Askarov, familyName, Askarov]
Generated description
Askarov is a Central Asian surname commonly found in countries such as Kyrgyzstan, Uzbekistan, and Kazakhstan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Askarov
Target entity description: Askarov is a Central Asian surname commonly found in countries such as Kyrgyzstan, Uzbekistan, and Kazakhstan.
  • A. Arkadi
    Arkadi is a masculine given name of Armenian and Slavic origin, commonly used in Eastern Europe and the Caucasus.
  • B. Azizov
    Azizov is a patronymic-style surname derived from the given name Aziz, commonly found in Central Asian and other Turkic or Slavic-influenced regions.
  • C. Arkadyevich
    Arkadyevich is the patronymic of Stepan Arkadyevich Oblonsky, a central socialite and bureaucratic character in Leo Tolstoy’s novel "Anna Karenina."
  • D. Kirilov
    Kirilov is a philosophical and tormented character in Fyodor Dostoevsky’s novel "Demons," known for his radical ideas about freedom, God, and suicide.
  • E. Pozdnyshev
    Pozdnyshev is the tormented, jealous husband and central narrator of Leo Tolstoy’s novella "The Kreutzer Sonata," whose confession of murdering his wife drives the story’s exploration of marriage, sexuality, and morality.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8cad9c0819082d61f53865ef0b4 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030a1042c8190a31c76638a95a2cf completed April 3, 2026, 9:26 p.m.
NEDg Description generation batch_69d0318faa408190bb02838ae0dea710 completed April 3, 2026, 9:30 p.m.
NED2 Entity disambiguation (via description) batch_69d032451450819089949cf4c0039463 completed April 3, 2026, 9:33 p.m.
Created at: March 30, 2026, 7:18 p.m.