Triple

T22413404
Position Surface form Disambiguated ID Type / Status
Subject My Petersburg E554047 entity
Predicate characterFocus P31 FINISHED
Object Dmitry 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: Dmitry | Statement: [My Petersburg, characterFocus, Dmitry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dmitry
Context triple: [My Petersburg, characterFocus, Dmitry]
  • A. Dimitri chosen
    Dimitri is a masculine given name of Greek origin, commonly used in various cultures and languages.
  • B. Vadim
    Vadim is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Dmitry Urusov
    Dmitry Urusov is a Russian nobleman and statesman from the historic Urusov princely family.
  • D. Demyan
    Demyan is a masculine given name, commonly used in Slavic countries and derived from the Greek name Damian.
  • E. Alexey
    Alexey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Greek name Alexios, meaning "defender" or "helper."
  • 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1594496348190ba25dc0193d092f2 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.