Triple

T13912759
Position Surface form Disambiguated ID Type / Status
Subject Davidovich E334539 entity
Predicate relatedForm P21674 FINISHED
Object Davidovna E657616 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: Davidovna | Statement: [Davidovich, relatedForm, Davidovna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Davidovna
Context triple: [Davidovich, relatedForm, Davidovna]
  • A. Lyudmila
    Lyudmila is a common Russian female given name, notably borne by figures such as Soviet World War II sniper Lyudmila Pavlichenko.
  • B. Lyudmila
    Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
  • C. Ludmila
    Ludmila is the heroine of Alexander Pushkin’s narrative poem "Ruslan and Ludmila," known as a beautiful Kievan princess whose abduction sets the story’s adventurous plot in motion.
  • D. Maria Buynosova-Rostovskaya
    Maria Buynosova-Rostovskaya was a Russian noblewoman best known as the wife of Tsar Vasili IV Shuisky during the Time of Troubles.
  • E. Vladimirovna chosen
    Vladimirovna is a Russian female patronymic indicating that the bearer is the daughter of a man named Vladimir.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de27245c648190b2946845ce0fdbf8 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c72a345481908f8552bca7bb1a5a completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:16 p.m.