Triple

T19185885
Position Surface form Disambiguated ID Type / Status
Subject Aleksy Dawidowski E469700 entity
Predicate givenName P17 FINISHED
Object Aleksy
Aleksy is a masculine given name of Slavic origin, commonly used in Poland and other Eastern European countries.
E1366419 NE FINISHED

How this triple was built (4 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: Aleksy | Statement: [Aleksy Dawidowski, givenName, Aleksy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aleksy
Context triple: [Aleksy Dawidowski, givenName, Aleksy]
  • A. Konstanty
    Konstanty is a masculine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
  • B. Timoteusz
    Timoteusz is a masculine given name, primarily used in Polish and other Slavic languages, derived from the Greek-origin name Timothy.
  • C. Walery
    Walery is a masculine given name of Slavic origin, used primarily in Polish-speaking countries.
  • D. Stanislaw
    Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
  • E. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aleksy
Triple: [Aleksy Dawidowski, givenName, Aleksy]
Generated description
Aleksy is a masculine given name of Slavic origin, commonly used in Poland and other Eastern European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aleksy
Target entity description: Aleksy is a masculine given name of Slavic origin, commonly used in Poland and other Eastern European countries.
  • A. Konstanty
    Konstanty is a masculine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
  • B. Timoteusz
    Timoteusz is a masculine given name, primarily used in Polish and other Slavic languages, derived from the Greek-origin name Timothy.
  • C. Walery
    Walery is a masculine given name of Slavic origin, used primarily in Polish-speaking countries.
  • D. Stanislaw
    Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
  • E. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • F. None of above. chosen

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a0705c8c0588190bf8f66ed08030658 completed May 15, 2026, 11:38 a.m.
NEDg Description generation batch_6a0706d7c63c8190a7114937af40b294 completed May 15, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_6a070763ca5c81908afa73b30645223a completed May 15, 2026, 11:45 a.m.
Created at: April 10, 2026, 12:07 p.m.