Triple

T2777331
Position Surface form Disambiguated ID Type / Status
Subject Dmitry Yazov E61604 entity
Predicate familyName P18 FINISHED
Object Yazov
Yazov is a Russian surname most notably borne by Dmitry Yazov, the last Marshal of the Soviet Union and a prominent Soviet military leader.
E296982 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: Yazov | Statement: [Dmitry Yazov, familyName, Yazov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yazov
Context triple: [Dmitry Yazov, familyName, Yazov]
  • A. Yèvre
    Yèvre is a river in central France that flows through the Cher department and serves as one of its notable waterways.
  • B. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • C. Ivanychi
    Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
  • D. Urzhum
    Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
  • E. Dzhidi
    Dzhidi is an alternative name for Judeo-Persian, the group of Persian dialects historically spoken and written by Jewish communities using the Hebrew script.
  • 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: Yazov
Triple: [Dmitry Yazov, familyName, Yazov]
Generated description
Yazov is a Russian surname most notably borne by Dmitry Yazov, the last Marshal of the Soviet Union and a prominent Soviet military leader.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yazov
Target entity description: Yazov is a Russian surname most notably borne by Dmitry Yazov, the last Marshal of the Soviet Union and a prominent Soviet military leader.
  • A. Yèvre
    Yèvre is a river in central France that flows through the Cher department and serves as one of its notable waterways.
  • B. Voykovskaya
    Voykovskaya is a Moscow Metro station serving the Zamoskvoretskaya Line in the northern part of the city.
  • C. Ivanychi
    Ivanychi is a small urban-type settlement in western Ukraine that serves as a local administrative and community center within Volyn Oblast.
  • D. Urzhum
    Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
  • E. Dzhidi
    Dzhidi is an alternative name for Judeo-Persian, the group of Persian dialects historically spoken and written by Jewish communities using the Hebrew script.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd82a864819082bd1181a16d5208 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05adf908190bd16bbb6f8ea213a completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc0d32d5881908b80e0bfca5cd873 completed March 10, 2026, 6:57 a.m.
NED2 Entity disambiguation (via description) batch_69afc133f8088190bd505db0d0d1d6f7 completed March 10, 2026, 6:59 a.m.
Created at: March 6, 2026, 9:57 p.m.