Triple

T10174174
Position Surface form Disambiguated ID Type / Status
Subject Gagarina E235807 entity
Predicate notableBearer P458 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: [Gagarina, notableBearer, Yelena Gagarina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yelena Gagarina
Context triple: [Gagarina, notableBearer, 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdeca0dc508190916f2a1bbb288192 completed April 2, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbac97ce2481908ea11d6290a9bf2f completed April 12, 2026, 2:30 p.m.
Created at: March 30, 2026, 9:11 p.m.