Triple

T13605927
Position Surface form Disambiguated ID Type / Status
Subject Sergiy E325060 entity
Predicate hasRelatedName P3889 FINISHED
Object Sergii E325060 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: Sergii | Statement: [Sergiy, hasRelatedName, Sergii]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sergii
Context triple: [Sergiy, hasRelatedName, Sergii]
  • A. Sergiy chosen
    Sergiy is a given name, commonly used as a Ukrainian or Eastern European variant of the name Sergei.
  • B. Sergei
    Sergei is a masculine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
  • C. Vadym
    Vadym is a masculine given name of Slavic origin, commonly used in Ukraine and other Eastern European countries.
  • D. Sergy
    Sergy is a small commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • E. Tymofiy
    Tymofiy is a masculine given name of Ukrainian origin, notably borne by economist and former Ukrainian minister Tymofiy Mylovanov.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942c7f948190a62a8d2f69262ef3 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:50 p.m.