Triple

T20471587
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Kazan E502205 entity
Predicate familyName P18 FINISHED
Object Kazan
Kazan is a surname most notably associated with a family of American artists and filmmakers, including screenwriter Nicholas Kazan and director Elia Kazan.
 E1433378 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: Kazan | Statement: [Nicholas Kazan, familyName, Kazan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kazan
Context triple: [Nicholas Kazan, familyName, Kazan]
  • A. 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.
  • B. Kazanh
    Kazanh is a locality within Turkey’s Ankara Province, situated in the Central Anatolia region.
  • C. Ufa
    Ufa is the capital and largest city of the Republic of Bashkortostan in Russia, known as a major industrial, cultural, and economic center in the Ural region.
  • D. Naberezhnye Chelny
    Naberezhnye Chelny is a major industrial city in Russia’s Republic of Tatarstan, best known as the home of the KamAZ truck manufacturing plant.
  • E. Kazanin
    Kazanin is a Russian-language surname most notably borne by comedian and television personality Stepan Kazanin.
  • 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: Kazan
Triple: [Nicholas Kazan, familyName, Kazan]
Generated description
Kazan is a surname most notably associated with a family of American artists and filmmakers, including screenwriter Nicholas Kazan and director Elia Kazan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kazan
Target entity description: Kazan is a surname most notably associated with a family of American artists and filmmakers, including screenwriter Nicholas Kazan and director Elia Kazan.
  • A. 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.
  • B. Kazanh
    Kazanh is a locality within Turkey’s Ankara Province, situated in the Central Anatolia region.
  • C. Ufa
    Ufa is the capital and largest city of the Republic of Bashkortostan in Russia, known as a major industrial, cultural, and economic center in the Ural region.
  • D. Naberezhnye Chelny
    Naberezhnye Chelny is a major industrial city in Russia’s Republic of Tatarstan, best known as the home of the KamAZ truck manufacturing plant.
  • E. Kazanin
    Kazanin is a Russian-language surname most notably borne by comedian and television personality Stepan Kazanin.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6996197908190b6570e2a7fd6cf67 completed April 20, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088b1c8764819082fab819e2114156 completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c75b09081908a35bc7a9b6a45ce completed May 16, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a088d8c3ab08190a399dba52e3c99f5 completed May 16, 2026, 3:30 p.m.
Created at: April 16, 2026, 11:33 a.m.