Triple

T9127277
Position Surface form Disambiguated ID Type / Status
Subject Sergei Kovalev E218996 entity
Predicate name P16 FINISHED
Object Sergei Kovalev E218996 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: Sergei Kovalev | Statement: [Sergei Kovalev, name, Sergei Kovalev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergei Kovalev
Context triple: [Sergei Kovalev, name, Sergei Kovalev]
  • A. Sergei Kovalev chosen
    Sergei Kovalev was a prominent Russian human rights activist, dissident, and politician known for his opposition to Soviet and later Russian authoritarianism.
  • B. Sergey Kovalev
    Sergey Kovalev is a Russian former professional boxer and multiple-time light heavyweight world champion known for his formidable punching power.
  • C. Dmitry Kozlov
    Dmitry Kozlov was a Soviet military commander and general who led Red Army forces in several key operations during World War II, including campaigns on the Eastern Front.
  • D. Alexei Kovalev
    Alexei Kovalev is a retired Russian professional ice hockey forward known for his long and productive NHL career, including winning a Stanley Cup with the New York Rangers in 1994.
  • E. Vlad Kliatchko
    Vlad Kliatchko is a senior technology and product executive known for leading core engineering and platform initiatives at Bloomberg L.P.
  • 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_69ca83debfc0819095800583e97ab10f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8cad9c0819082d61f53865ef0b4 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030a1042c8190a31c76638a95a2cf completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:18 p.m.