Triple

T23066057
Position Surface form Disambiguated ID Type / Status
Subject renormalization group E575044 entity
Predicate developedBy P73 FINISHED
Object Dmitry Shirkov NE NERFINISHED

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: Dmitry Shirkov | Statement: [renormalization group, developedBy, Dmitry Shirkov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dmitry Shirkov
Context triple: [renormalization group, developedBy, Dmitry Shirkov]
  • A. Dmitry Shirkov chosen
    Dmitry Shirkov was a Soviet and Russian theoretical physicist known for his contributions to quantum field theory and renormalization group methods.
  • B. Yury Vdovin
    Yury Vdovin is an architect known for his work on the design of the VDNKh exhibition complex in Moscow.
  • C. Dmitry Dokhturov
    Dmitry Dokhturov was a Russian general of the Napoleonic Wars, noted for his capable leadership in several key engagements against Napoleon’s forces.
  • D. Dmitry Sukhorukov
    Dmitry Sukhorukov was a Soviet military officer who rose to prominence as a leading commander within the Soviet Airborne Forces.
  • E. Viktor L. Kirpichev
    Viktor L. Kirpichev was a key figure in Ukrainian technical education, best known as the founder and first organizer of the Kyiv Polytechnic Institute.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a3e39481909cad356ad0bb3ee6 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.