Triple

T8683856
Position Surface form Disambiguated ID Type / Status
Subject Yuri Gagarin E206103 entity
Predicate hasChild P369 FINISHED
Object Yelena Gagarina E41305 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: Yelena Gagarina | Statement: [Yuri Gagarin, hasChild, Yelena Gagarina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yelena Gagarina
Context triple: [Yuri Gagarin, hasChild, Yelena Gagarina]
  • A. Yelena Gagarina chosen
    Yelena Gagarina is a Russian art historian and museum director, best known for heading the Moscow Kremlin Museums and being the daughter of cosmonaut Yuri Gagarin.
  • B. Yelena Yemchuk
    Yelena Yemchuk is a Ukrainian-American photographer, painter, and film director known for her surreal, dreamlike imagery and collaborations with fashion brands and musicians.
  • C. Irina Sobyanina
    Irina Sobyanina is the former wife of Sergei Sobyanin, the long-serving mayor of Moscow and prominent Russian politician.
  • D. Irina Baronova
    Irina Baronova was a renowned Russian-born ballerina, celebrated as one of the legendary "Baby Ballerinas" of the Ballets Russes de Monte Carlo in the 1930s.
  • E. Tamara Ogorodnikova
    Tamara Ogorodnikova is a Soviet film producer best known for her work on Andrei Tarkovsky’s acclaimed historical drama "Andrei Rublev" (1966).
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4ae9da3c8190866e24970a7aeba3 completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152541308819098cdca4f3ba9011d completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 6:32 p.m.