Triple

T4371026
Position Surface form Disambiguated ID Type / Status
Subject Kirill Petrenko E98895 entity
Predicate givenName P17 FINISHED
Object Kirill E201164 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: Kirill | Statement: [Kirill Petrenko, givenName, Kirill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirill
Context triple: [Kirill Petrenko, givenName, Kirill]
  • A. Kirill chosen
    Kirill is a highly skilled Russian assassin and primary antagonist who relentlessly hunts Jason Bourne in the action thriller film "The Bourne Supremacy."
  • B. Timofei
    Timofei is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and related to the name Timo.
  • C. Vova
    Vova is a common Russian diminutive form of the male given name Vladimir.
  • D. Nikolay
    Nikolay is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Nicholas in English.
  • E. Юрий
    Юрий is a common Russian male given name, often rendered in English as Yuri and borne by numerous notable figures in Russian and Soviet history and culture.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3521cb7ec8190b7b79675871d97d8 completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e50bcc9481909b0b9d60198dce63 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:17 p.m.