Triple

T6289935
Position Surface form Disambiguated ID Type / Status
Subject Olga Pavlovna of Russia E140990 entity
Predicate patronymicName P7966 FINISHED
Object Pavlovna E351202 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: Pavlovna | Statement: [Olga Pavlovna of Russia, patronymicName, Pavlovna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pavlovna
Context triple: [Olga Pavlovna of Russia, patronymicName, Pavlovna]
  • A. Pavlovna chosen
    Pavlovna is a Russian patronymic indicating "daughter of Pavel," commonly used as the middle name of women in Russian naming tradition.
  • B. Petrovna
    Petrovna is a common Russian patronymic derived from the male given name Pyotr, typically meaning "daughter of Pyotr."
  • C. Nikolaevna
    Nikolaevna is a Russian patronymic indicating "daughter of Nikolai," famously borne by Grand Duchess Anastasia Nikolaevna of Russia.
  • D. Natalia Petrovna
    Natalia Petrovna was a Russian princess of the Romanov dynasty and sister of Empress Elizabeth of Russia.
  • E. Anna Karlovna
    Anna Karlovna is an alternative name for Anna Leopoldovna, the 18th-century Russian regent who ruled on behalf of the infant Emperor Ivan VI.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0641a6ecc8190a63be0e3f0344a3f completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5197f0f9c81909f5b6de50e61560c completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:26 p.m.