Triple

T10816744
Position Surface form Disambiguated ID Type / Status
Subject Wasilewska E255250 entity
Predicate hasFeminineFormOf P78555 FINISHED
Object Wasilewski E887642 NE FINISHED

How this triple was built (3 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: Wasilewski | Statement: [Wasilewska, hasFeminineFormOf, Wasilewski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wasilewski
Context triple: [Wasilewska, hasFeminineFormOf, Wasilewski]
  • A. Wasilewski chosen
    Wasilewski is a Polish surname, typically indicating familial or geographic origin and commonly found in Poland and among the Polish diaspora.
  • B. Korzeniowski
    Korzeniowski is a Polish surname most notably borne by contemporary film and television composer Abel Korzeniowski.
  • C. Wojciechowski
    Wojciechowski is a Polish surname most notably borne by Stanisław Wojciechowski, who served as President of Poland in the early 20th century.
  • D. Ogiński
    Ogiński is the surname of a prominent Polish–Lithuanian noble family best known for composer and statesman Michał Kleofas Ogiński.
  • E. Kowalik
    Kowalik is a Polish surname, likely of similar origin or family line to the surname Kowalski.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFeminineFormOf
Context triple: [Wasilewska, hasFeminineFormOf, Wasilewski]
  • A. hasFeminineFormInSomeLanguages
    Indicates that the referenced entity has a distinct feminine grammatical or lexical form in at least one language.
  • B. hasFemaleFormOf chosen
    Indicates that one entity is the specifically female version or form of another, more general or differently gendered entity.
  • C. hasMasculineForm
    Indicates that an entity has a corresponding masculine grammatical or lexical form.
  • D. hasFeminineFormInCzechAndSlovak
    Indicates that an entity has a specifically feminine grammatical or lexical form in the Czech and Slovak languages.
  • E. hasGrammaticalGender
    Indicates that one entity assigns or possesses a specific grammatical gender in relation to another entity (such as a word, phrase, or linguistic unit).
  • F. None of above.

Provenance (4 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eea03c8190a68f4d4f89f497a2 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0f9e3a081908163b398d845deeb completed April 14, 2026, 9:26 p.m.
PD Predicate disambiguation batch_69d70d1bf3648190b36fa96ea018e0dc completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:18 p.m.