Triple

T13191791
Position Surface form Disambiguated ID Type / Status
Subject Ivan Vyshnegradsky E314007 entity
Predicate givenName P17 FINISHED
Object Ivan E157814 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: Ivan | Statement: [Ivan Vyshnegradsky, givenName, Ivan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ivan
Context triple: [Ivan Vyshnegradsky, givenName, Ivan]
  • A. Ivan chosen
    Ivan is a common Slavic male given name widely used in Russia and other Eastern European countries, equivalent to "John" in English.
  • B. Ivan Vorotynsky
    Ivan Vorotynsky was a Russian noble and statesman who belonged to the influential group of aristocrats known as the Seven Boyars during the Time of Troubles.
  • C. Vasily
    Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • D. Fyodor
    Fyodor is a masculine given name of Russian origin, most famously borne by the novelist Fyodor Dostoevsky.
  • E. Pyotr
    Pyotr is the Russian given name of Peter Kropotkin, the influential 19th-century anarchist philosopher, geographer, and revolutionary.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c600ab48190bcf84aaf5846fb4b completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f70928c8190a872ecb47b8da2c7 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:15 p.m.