Triple

T20543714
Position Surface form Disambiguated ID Type / Status
Subject Vitaly Scherbo E504411 entity
Predicate givenName P17 FINISHED
Object Vitaly NE NERFINISHED

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: Vitaly | Statement: [Vitaly Scherbo, givenName, Vitaly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitaly
Context triple: [Vitaly Scherbo, givenName, Vitaly]
  • A. Vitaly chosen
    Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. Vadim
    Vadim is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Vitaly Abalakov
    Vitaly Abalakov was a renowned Soviet mountaineer and engineer celebrated for his pioneering climbs in the Pamirs and Tien Shan and for inventing influential climbing gear such as the Abalakov thread.
  • D. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Andrey Voronikhin
    Andrey Voronikhin was a prominent Russian neoclassical architect of the late 18th and early 19th centuries, noted for shaping the architectural landscape of St. Petersburg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a2957c308190aab81127f82f8aa6 completed April 20, 2026, 10:03 p.m.
Created at: April 16, 2026, 11:38 a.m.