Triple

T9033253
Position Surface form Disambiguated ID Type / Status
Subject 5th Guards Tank Army E216425 entity
Predicate commander P1061 FINISHED
Object Aleksei Rodin E537365 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: Aleksei Rodin | Statement: [5th Guards Tank Army, commander, Aleksei Rodin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aleksei Rodin
Context triple: [5th Guards Tank Army, commander, Aleksei Rodin]
  • A. Aleksei Rodin chosen
    Aleksei Rodin was a Soviet tank corps commander and general who played a significant role in armoured operations on the Eastern Front during World War II.
  • B. Ivan Zavodovski
    Ivan Zavodovski was a Russian naval officer and explorer after whom the sub-Antarctic Zavodovski Island was named.
  • C. Eugene Troubetzkoy
    Eugene Troubetzkoy is an entrepreneur best known as a co-founder of the American computer animation company Blue Sky Studios.
  • D. Fyodor Kokoshkin
    Fyodor Kokoshkin was a Russian liberal politician and jurist of the early 20th century, known for his role in the pre-revolutionary reform movement and participation in the State Duma.
  • E. Pavel Korin
    Pavel Korin was a prominent Russian and Soviet painter and art restorer known for his monumental works and contributions to religious and historical art.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6aa248bc8190a55cfc2a5306ab20 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01773694c8190830f9294c3ec4f54 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:08 p.m.