Triple

T10864177
Position Surface form Disambiguated ID Type / Status
Subject Kuntsevo Cemetery E256484 entity
Predicate hasGraveOf P196 FINISHED
Object Vladimir Komarov E306535 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: Vladimir Komarov | Statement: [Kuntsevo Cemetery, hasGraveOf, Vladimir Komarov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vladimir Komarov
Context triple: [Kuntsevo Cemetery, hasGraveOf, Vladimir Komarov]
  • A. Vladimir Komarov chosen
    Vladimir Komarov was a Soviet cosmonaut and test pilot who became the first human to die during a spaceflight, perishing in the Soyuz 1 mission in 1967.
  • B. Sergei Komarov
    Sergei Komarov is a notable individual who shares the surname Komarov, which is borne by several prominent Russian figures in fields such as space exploration, science, and the arts.
  • C. Mikhail Komarov
    Mikhail Komarov is a person notable enough to be recognized as a prominent bearer of the surname Komarov.
  • D. Yevgeny Leonov
    Yevgeny Leonov was a beloved Soviet and Russian film and theater actor known for his warm, expressive performances and memorable roles in both comedies and dramas.
  • E. Vladimir Leontyevich Komarov
    Vladimir Leontyevich Komarov was a Russian scientist known for his contributions to microbiology and the study of microbial communities (microbiota).
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7516b2f148190adbacd35fc8c2056 completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154c05bf081909d1892c6c81a5f2c completed April 16, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:20 p.m.