Triple

T9018860
Position Surface form Disambiguated ID Type / Status
Subject Josephine E215661 entity
Predicate relatedName P3889 FINISHED
Object Józefina
Józefina is the Polish form of the female given name Josephine, commonly used in Poland and among Polish-speaking communities.
 E773258 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: Józefina | Statement: [Josephine, relatedName, Józefina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Józefina
Context triple: [Josephine, relatedName, Józefina]
  • A. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • B. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • C. Michalina
    Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • D. Beata
    Beata is a feminine given name of Latin origin, commonly used in various European countries and meaning "blessed" or "happy."
  • E. Roksana
    Roksana is a feminine given name, commonly used in various Slavic and Persian-influenced cultures, that is a variant of the name Roxana.
  • 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: Józefina
Triple: [Josephine, relatedName, Józefina]
Generated description
Józefina is the Polish form of the female given name Josephine, commonly used in Poland and among Polish-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Józefina
Target entity description: Józefina is the Polish form of the female given name Josephine, commonly used in Poland and among Polish-speaking communities.
  • A. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • B. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • C. Michalina
    Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • D. Beata
    Beata is a feminine given name of Latin origin, commonly used in various European countries and meaning "blessed" or "happy."
  • E. Roksana
    Roksana is a feminine given name, commonly used in various Slavic and Persian-influenced cultures, that is a variant of the name Roxana.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a4085848190a6aa440e6307e93d completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbaf7be081908738ef9a9a17a77b completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdd06e9cc8190a1df43556d91779d completed April 3, 2026, 3:30 p.m.
NED2 Entity disambiguation (via description) batch_69cfdda4bf048190bc054fe9b1dcc98d completed April 3, 2026, 3:32 p.m.
Created at: March 30, 2026, 7:07 p.m.