Triple

T8624322
Position Surface form Disambiguated ID Type / Status
Subject Gerasimov Institute of Cinematography E204245 entity
Predicate notableAlumni P51 FINISHED
Object Elem Klimov E252430 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: Elem Klimov | Statement: [Gerasimov Institute of Cinematography, notableAlumni, Elem Klimov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elem Klimov
Context triple: [Gerasimov Institute of Cinematography, notableAlumni, Elem Klimov]
  • A. Elem Klimov chosen
    Elem Klimov was a Soviet film director best known internationally for his harrowing World War II drama "Come and See."
  • B. Oleg Klimov
    Oleg Klimov is a researcher known for his contributions to the development and analysis of Proximal Policy Optimization (PPO) algorithms in reinforcement learning.
  • C. Yuri Boldyrev
    Yuri Boldyrev is a Russian politician and public figure best known as one of the founders of the liberal opposition party Yabloko.
  • D. Eldar Ryazanov
    Eldar Ryazanov was a renowned Soviet and Russian film director and screenwriter, celebrated for his sharp-witted comedies and satirical portrayals of everyday life.
  • E. Andrei Zelentsov
    Andrei Zelentsov was a Soviet military commander best known for leading Red Army forces during the Winter War against Finland, including in the Battle of Suomussalmi.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4728360c8190b5e600596cbced0c completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87dfc46e08190bea27c11b987cb6d completed April 10, 2026, 4:35 a.m.
Created at: March 30, 2026, 6:26 p.m.