Triple

T7818472
Position Surface form Disambiguated ID Type / Status
Subject Lyudmila Shkrebneva E181069 entity
Predicate hasChild P369 FINISHED
Object Maria Putina E181070 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: Maria Putina | Statement: [Lyudmila Shkrebneva, hasChild, Maria Putina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Putina
Context triple: [Lyudmila Shkrebneva, hasChild, Maria Putina]
  • A. Maria Putina chosen
    Maria Putina is the elder daughter of Russian president Vladimir Putin and his former wife Lyudmila Putina.
  • B. Maria Sèthe
    Maria Sèthe was the wife and muse of Belgian architect and designer Henry van de Velde, known for her role in his artistic circle and early modernist milieu.
  • C. Maria Magdalena Keverich
    Maria Magdalena Keverich was a German woman best known as the mother of the composer Ludwig van Beethoven.
  • D. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • E. Violanta
    Violanta is a one-act opera by Erich Wolfgang Korngold, known for its lush late-Romantic score and psychologically intense drama set in Renaissance Venice.
  • 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_69ca828153f48190bdb27ac46f8e0745 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf9708bdc8190a5154efe0f96f458 completed March 30, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb149266e88190a582b11d68702a6a completed March 31, 2026, 12:25 a.m.
Created at: March 30, 2026, 4:40 p.m.