Triple

T19185886
Position Surface form Disambiguated ID Type / Status
Subject Aleksy Dawidowski E469700 entity
Predicate nickname P55 FINISHED
Object Alek 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: Alek | Statement: [Aleksy Dawidowski, nickname, Alek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alek
Context triple: [Aleksy Dawidowski, nickname, Alek]
  • A. Alek chosen
    Alek is a common diminutive or short form of the given name Aleksander, used in various Slavic and European languages.
  • B. Aleksin
    Aleksin is a historic town and industrial center located on the Oka River in Tula Oblast, Russia.
  • C. Alexey
    Alexey is a masculine given name of Slavic origin, commonly used in Russian-speaking countries and derived from the Greek name Alexios, meaning "defender" or "helper."
  • D. Anatoly
    Anatoly is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
  • E. Ilya
    Ilya is a common Russian given name, notably borne by star ice hockey player Ilya Kovalchuk.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f6202b3881908b34ec4921fb90ca completed April 20, 2026, 9:47 a.m.
Created at: April 10, 2026, 12:07 p.m.