Triple

T5461149
Position Surface form Disambiguated ID Type / Status
Subject Ruslan and Ludmila E122595 entity
Predicate hasMainCharacter P1183 FINISHED
Object Ruslan E505071 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: Ruslan | Statement: [Ruslan and Ludmila, hasMainCharacter, Ruslan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruslan
Context triple: [Ruslan and Ludmila, hasMainCharacter, Ruslan]
  • A. Ruslan chosen
    Ruslan is a masculine given name of Turkic origin widely used in Slavic countries, often associated with literary and historical figures.
  • B. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • C. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Oleg
    Oleg is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • E. Rodion
    Rodion is a masculine given name of Slavic origin, most notably borne by Soviet military commander Rodion Malinovsky.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9201dbfc8190bea22d6ecbc25b3e completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf414c39a4819098f2862f3c4594c0 completed March 22, 2026, 1:09 a.m.
Created at: March 20, 2026, 2:08 p.m.