Triple

T15263583
Position Surface form Disambiguated ID Type / Status
Subject Vitalik Buterin E364844 entity
Predicate givenName P17 FINISHED
Object Vitaly E445957 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: Vitaly | Statement: [Vitalik Buterin, givenName, Vitaly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vitaly
Context triple: [Vitalik Buterin, givenName, Vitaly]
  • A. Vitaly chosen
    Vitaly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • B. 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.
  • C. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. 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.
  • E. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084fed0481908e452c89cba2be82 completed April 15, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e1b698819098930596327340d7 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 3:14 a.m.