Triple

T5242203
Position Surface form Disambiguated ID Type / Status
Subject Ruslan Stefanchuk E118369 entity
Predicate givenName P17 FINISHED
Object Ruslan
Ruslan is a masculine given name of Turkic origin widely used in Slavic countries, often associated with literary and historical figures.
 E505071 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: Ruslan | Statement: [Ruslan Stefanchuk, givenName, Ruslan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruslan
Context triple: [Ruslan Stefanchuk, givenName, Ruslan]
  • A. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • B. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • C. Oleg
    Oleg is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Rodion
    Rodion is a masculine given name of Slavic origin, most notably borne by Soviet military commander Rodion Malinovsky.
  • E. Gerasim
    Gerasim is the compassionate peasant servant in Leo Tolstoy’s novella "The Death of Ivan Ilyich," known for his honesty, simplicity, and humane care for the dying protagonist.
  • 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: Ruslan
Triple: [Ruslan Stefanchuk, givenName, Ruslan]
Generated description
Ruslan is a masculine given name of Turkic origin widely used in Slavic countries, often associated with literary and historical figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruslan
Target entity description: Ruslan is a masculine given name of Turkic origin widely used in Slavic countries, often associated with literary and historical figures.
  • A. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • B. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • C. Oleg
    Oleg is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Rodion
    Rodion is a masculine given name of Slavic origin, most notably borne by Soviet military commander Rodion Malinovsky.
  • E. Gerasim
    Gerasim is the compassionate peasant servant in Leo Tolstoy’s novella "The Death of Ivan Ilyich," known for his honesty, simplicity, and humane care for the dying protagonist.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b4c6fa8819099442b1b110e51fb completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef82b42308190b9e3e0e113d8093b completed March 21, 2026, 7:57 p.m.
NEDg Description generation batch_69bef8bfcd1c819090b81f8ebb097c5b completed March 21, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69bef95e7ce48190a1ec2fc27ce37d00 completed March 21, 2026, 8:02 p.m.
Created at: March 20, 2026, 1:49 p.m.