Triple

T16329335
Position Surface form Disambiguated ID Type / Status
Subject Agnieszka E396506 entity
Predicate relatedName P3889 FINISHED
Object Agnieszka (diminutive: Agnieszka) E396506 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: Agnieszka (diminutive: Agnieszka) | Statement: [Agnieszka, relatedName, Agnieszka (diminutive: Agnieszka)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnieszka (diminutive: Agnieszka)
Context triple: [Agnieszka, relatedName, Agnieszka (diminutive: Agnieszka)]
  • A. Agnieszka chosen
    Agnieszka is a Polish feminine given name, commonly regarded as the Polish form of Agnes.
  • B. Zuzanna
    Zuzanna is a feminine given name, primarily used in Slavic countries, that is a variant of the name Susanna.
  • C. Grzymisława
    Grzymisława was a medieval noblewoman, known as Grzymisława of Łuck, associated with the ruling elites of the historical region of Volhynia in Eastern Europe.
  • D. Zieleniewska
    Zieleniewska is a Polish surname most notably borne by Wanda Zieleniewska.
  • E. Michalina
    Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4ddc5608190b24fe2e871691470 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00261134108190812da262b424a476 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.