Triple

T7594784
Position Surface form Disambiguated ID Type / Status
Subject Timofey E179829 entity
Predicate hasVariant P455 FINISHED
Object Timofej E238476 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: Timofej | Statement: [Timofey, hasVariant, Timofej]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timofej
Context triple: [Timofey, hasVariant, Timofej]
  • A. Timofei chosen
    Timofei is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and related to the name Timo.
  • B. Vsevolod
    Vsevolod is a masculine given name of Slavic origin, most notably borne by the influential Russian theatre director Vsevolod Meyerhold.
  • C. Vladislav
    Vladislav is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • D. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Oleg
    Oleg is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9bbcd8081909a229d7faa2ffdc8 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8eefc58f08190b6d57608a2a296c8 completed March 29, 2026, 9:21 a.m.
Created at: March 27, 2026, 3:53 p.m.