Triple

T22296368
Position Surface form Disambiguated ID Type / Status
Subject Piotr Wandycz E551131 entity
Predicate givenName P17 FINISHED
Object Piotr 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: Piotr | Statement: [Piotr Wandycz, givenName, Piotr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piotr
Context triple: [Piotr Wandycz, givenName, Piotr]
  • A. Piotr chosen
    Piotr is the Polish form of the given name Peter, commonly used in Poland and among Polish-speaking communities.
  • B. Piotrów
    Piotrów is a village in south-central Poland located within the administrative district of Gmina Łagów.
  • C. Paweł
    Paweł is a common Polish given name, equivalent to the English name Paul.
  • D. Grzegorz
    Grzegorz is the Polish form of the given name Gregory, commonly used in Poland and among Polish-speaking communities.
  • E. Radosław
    Radosław is a masculine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15720fba0819080f6c96f6df4f1e0 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.