Triple

T15886140
Position Surface form Disambiguated ID Type / Status
Subject Kairat Abdrakhmanov E385196 entity
Predicate familyName P18 FINISHED
Object Abdrakhmanov
Abdrakhmanov is a Kazakh surname most notably borne by Kairat Abdrakhmanov, a prominent Kazakhstani diplomat and former foreign minister.
E1183338 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: Abdrakhmanov | Statement: [Kairat Abdrakhmanov, familyName, Abdrakhmanov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdrakhmanov
Context triple: [Kairat Abdrakhmanov, familyName, Abdrakhmanov]
  • A. Alekseyev
    Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
  • B. Rakhumov
    Rakhumov is a character from Fyodor Dostoevsky’s epistolary novel "Poor Folk," which explores the lives and struggles of impoverished residents in 19th-century St. Petersburg.
  • C. Semyonov
    Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
  • D. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Muratov
    Muratov is a Russian surname most prominently associated with Dmitry Muratov, the Nobel Peace Prize–winning journalist and editor-in-chief of the independent newspaper Novaya Gazeta.
  • 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: Abdrakhmanov
Triple: [Kairat Abdrakhmanov, familyName, Abdrakhmanov]
Generated description
Abdrakhmanov is a Kazakh surname most notably borne by Kairat Abdrakhmanov, a prominent Kazakhstani diplomat and former foreign minister.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Abdrakhmanov
Target entity description: Abdrakhmanov is a Kazakh surname most notably borne by Kairat Abdrakhmanov, a prominent Kazakhstani diplomat and former foreign minister.
  • A. Alekseyev
    Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
  • B. Rakhumov
    Rakhumov is a character from Fyodor Dostoevsky’s epistolary novel "Poor Folk," which explores the lives and struggles of impoverished residents in 19th-century St. Petersburg.
  • C. Semyonov
    Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
  • D. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Muratov
    Muratov is a Russian surname most prominently associated with Dmitry Muratov, the Nobel Peace Prize–winning journalist and editor-in-chief of the independent newspaper Novaya Gazeta.
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561a68d8819099e60e2f1f0db07a completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04598e0819094274868941195b9 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb1570324819086dfd14bab516811 completed May 9, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1eedaf481908d70e3517fbd5492 completed May 9, 2026, 10:15 p.m.
Created at: April 10, 2026, 4:51 a.m.