Triple

T14930010
Position Surface form Disambiguated ID Type / Status
Subject Ivan Alekseyevich E372234 entity
Predicate child P120 FINISHED
Object Feodosia Ivanovna E445660 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: Feodosia Ivanovna | Statement: [Ivan Alekseyevich, child, Feodosia Ivanovna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Feodosia Ivanovna
Context triple: [Ivan Alekseyevich, child, Feodosia Ivanovna]
  • A. Feodosia Ivanovna
    Feodosia Ivanovna was a Russian noblewoman of the late medieval period, known primarily as a member of the ruling family connected to the Grand Duchy of Moscow.
  • B. Feodosia Feodorovna
    Feodosia Feodorovna was a Russian tsarevna of the late 16th century, known primarily as a daughter of Tsar Feodor I of Russia and a member of the last Rurikid royal generation.
  • C. Feodosia Ivanovna of Russia chosen
    Feodosia Ivanovna of Russia was a short-lived Russian princess, the daughter of Tsar Ivan V of Russia and a member of the Romanov dynasty.
  • D. Vasilyeva
    Vasilyeva is a common Russian surname, typically the feminine form of Vasilyev, derived from the given name Vasily.
  • E. Ludmila Feodorovitch
    Ludmila Feodorovitch was the wife of Nobel Prize–winning Russian zoologist and immunologist Ilya Ilyich Mechnikov.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae048fa08190ba5719ca9868b50d completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 2:36 a.m.