Triple

T8185358
Position Surface form Disambiguated ID Type / Status
Subject Lyudmila Putina E191168 entity
Predicate givenName P17 FINISHED
Object Lyudmila E191168 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: Lyudmila | Statement: [Lyudmila Putina, givenName, Lyudmila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyudmila
Context triple: [Lyudmila Putina, givenName, Lyudmila]
  • A. Lyudmila chosen
    Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
  • B. Lyudmila
    Lyudmila is a common Russian female given name, notably borne by figures such as Soviet World War II sniper Lyudmila Pavlichenko.
  • 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. Ludmilla
    Ludmilla is a coastal suburb of Darwin in Australia's Northern Territory, known for its residential areas and proximity to Fannie Bay.
  • E. Galina
    Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c52407c8190bd366fce6d4e02cd completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde72b95b08190834cb6f4da15ce95 completed April 2, 2026, 3:48 a.m.
Created at: March 30, 2026, 5:41 p.m.