Triple

T15247004
Position Surface form Disambiguated ID Type / Status
Subject Susanna E364408 entity
Predicate hasVariant P455 FINISHED
Object Zuzanna
Zuzanna is a feminine given name, primarily used in Slavic countries, that is a variant of the name Susanna.
E1145644 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: Zuzanna | Statement: [Susanna, hasVariant, Zuzanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zuzanna
Context triple: [Susanna, hasVariant, Zuzanna]
  • A. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • B. Urszula
    Urszula is a feminine given name, primarily used in Poland, that is a variant of the name Ursula.
  • C. Józefina
    Józefina is the Polish form of the female given name Josephine, commonly used in Poland and among Polish-speaking communities.
  • D. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • E. Michalina
    Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • 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: Zuzanna
Triple: [Susanna, hasVariant, Zuzanna]
Generated description
Zuzanna is a feminine given name, primarily used in Slavic countries, that is a variant of the name Susanna.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zuzanna
Target entity description: Zuzanna is a feminine given name, primarily used in Slavic countries, that is a variant of the name Susanna.
  • A. Zofia
    Zofia is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • B. Urszula
    Urszula is a feminine given name, primarily used in Poland, that is a variant of the name Ursula.
  • C. Józefina
    Józefina is the Polish form of the female given name Josephine, commonly used in Poland and among Polish-speaking communities.
  • D. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • E. Michalina
    Michalina is a feminine given name of Slavic origin, commonly used in Polish-speaking countries.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f4f9d48190b96a7e0c6993cd69 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd491cd881908bad9660af9b6b8f completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf6ee3f081909553078cd3e9d243 completed May 9, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69fee0016a088190ad87268e035f677e completed May 9, 2026, 7:19 a.m.
Created at: April 10, 2026, 3:13 a.m.