Triple

T8709485
Position Surface form Disambiguated ID Type / Status
Subject Stepan Kazanin E206737 entity
Predicate familyName P18 FINISHED
Object Kazanin
Kazanin is a Russian-language surname most notably borne by comedian and television personality Stepan Kazanin.
 E766796 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: Kazanin | Statement: [Stepan Kazanin, familyName, Kazanin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kazanin
Context triple: [Stepan Kazanin, familyName, Kazanin]
  • A. Kasimov
    Kasimov is a historic town in central Russia known for its Tatar heritage, medieval architecture, and location on the Oka River.
  • B. Kazan
    Kazan is a major city in western Russia and the capital of the Republic of Tatarstan, known for its rich Tatar-Russian cultural heritage and historic Kremlin.
  • C. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • D. Zaraysk
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • E. Yamburg
    Yamburg is the former name of the Russian town now known as Kingisepp, located in Leningrad Oblast near the border with Estonia.
  • 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: Kazanin
Triple: [Stepan Kazanin, familyName, Kazanin]
Generated description
Kazanin is a Russian-language surname most notably borne by comedian and television personality Stepan Kazanin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kazanin
Target entity description: Kazanin is a Russian-language surname most notably borne by comedian and television personality Stepan Kazanin.
  • A. Kasimov
    Kasimov is a historic town in central Russia known for its Tatar heritage, medieval architecture, and location on the Oka River.
  • B. Kazan
    Kazan is a major city in western Russia and the capital of the Republic of Tatarstan, known for its rich Tatar-Russian cultural heritage and historic Kremlin.
  • C. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • D. Zaraysk
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • E. Yamburg
    Yamburg is the former name of the Russian town now known as Kingisepp, located in Leningrad Oblast near the border with Estonia.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c2e9c688190aceefaa2c3b7d7bd completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfb9fc625c8190bd8fc4e9e456e922 completed April 3, 2026, 1 p.m.
NEDg Description generation batch_69cfbe6aef808190bee156e131cb386c completed April 3, 2026, 1:19 p.m.
NED2 Entity disambiguation (via description) batch_69cfbee79c0c8190a9492dde17385223 completed April 3, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:35 p.m.