Triple

T10853243
Position Surface form Disambiguated ID Type / Status
Subject Челкаш E256203 entity
Predicate author P4 FINISHED
Object Максим Горький E6464 NE FINISHED

How this triple was built (2 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: Максим Горький | Statement: [Челкаш, author, Максим Горький]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Максим Горький
Context triple: [Челкаш, author, Максим Горький]
  • A. Maksim Gorky chosen
    Maksim Gorky was a seminal Russian and Soviet writer, socialist realist pioneer, and political activist whose works and public life profoundly influenced 20th-century Russian literature and culture.
  • B. Nikolai Ostrovsky
    Nikolai Ostrovsky was a Soviet writer best known for his socialist realist novel "How the Steel Was Tempered," which became a classic of communist literature.
  • C. Gorky
    Gorky is the former name of the Russian city of Nizhny Novgorod, historically known as a closed city in the Soviet era and a site of internal exile for dissidents.
  • D. Vsevolod Garshin
    Vsevolod Garshin was a 19th-century Russian writer known for his psychologically intense short stories and his influence on later Russian literature.
  • E. Venedikt Erofeev
    Venedikt Erofeev was a Russian writer and satirist best known for his cult prose poem "Moscow-Petushki," a darkly comic, philosophical account of a drunken train journey.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75134299481909459fd87917261a7 completed April 9, 2026, 7:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7cc0d648190afb0ce80bac7f3dc completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:20 p.m.