Triple

T17745892
Position Surface form Disambiguated ID Type / Status
Subject Roman Kopin E442988 entity
Predicate name P16 FINISHED
Object Roman Kopin 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: Roman Kopin | Statement: [Roman Kopin, name, Roman Kopin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roman Kopin
Context triple: [Roman Kopin, name, Roman Kopin]
  • A. Roman Kopin chosen
    Roman Kopin is a Russian politician who served as the long-time head of the remote, resource-rich Chukotka region in Russia’s Far East.
  • B. Jack Kopkin
    Jack Kopkin is an American businessman best known as one of the co-founders of the office supply retail chain Office Depot.
  • C. Leib Kvitko
    Leib Kvitko was a prominent Soviet Yiddish poet and children's writer who became one of the Jewish intellectuals executed in the 1952 "Night of the Murdered Poets" purge.
  • D. Eric Kopeloff
    Eric Kopeloff is a film producer best known for his work on major Hollywood features, including Oliver Stone’s "Wall Street: Money Never Sleeps."
  • E. Mark Korven
    Mark Korven is a Canadian film and television composer best known for his unsettling, atmospheric scores for horror projects such as The Witch and The Lighthouse.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad26940819090696c2cb86fd606 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.