Triple

T5310115
Position Surface form Disambiguated ID Type / Status
Subject Ricarda E119001 entity
Predicate hasRelatedName P3889 FINISHED
Object Riccarda
Riccarda is a feminine given name, primarily used in Italian- and German-speaking countries, that is related to the name Ricarda/Riccarda.
 E119001 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: Riccarda | Statement: [Ricarda, hasRelatedName, Riccarda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Riccarda
Context triple: [Ricarda, hasRelatedName, Riccarda]
  • A. Ricarda
    Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
  • B. Patrizia
    Patrizia is an Italian given name, typically the Italian form of "Patricia," used for women.
  • C. Rachele
    Rachele is an Italian given name, notably borne by Rachele Mussolini, the wife of dictator Benito Mussolini.
  • D. Giovanna
    Giovanna is an Italian feminine given name equivalent to English "Jane," commonly used in Italy and among Italian-speaking communities.
  • E. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • 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: Riccarda
Triple: [Ricarda, hasRelatedName, Riccarda]
Generated description
Riccarda is a feminine given name, primarily used in Italian- and German-speaking countries, that is related to the name Ricarda/Riccarda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Riccarda
Target entity description: Riccarda is a feminine given name, primarily used in Italian- and German-speaking countries, that is related to the name Ricarda/Riccarda.
  • A. Ricarda chosen
    Ricarda is a feminine given name, primarily used in German- and Spanish-speaking countries, derived from the male name Richard.
  • B. Patrizia
    Patrizia is an Italian given name, typically the Italian form of "Patricia," used for women.
  • C. Rachele
    Rachele is an Italian given name, notably borne by Rachele Mussolini, the wife of dictator Benito Mussolini.
  • D. Giovanna
    Giovanna is an Italian feminine given name equivalent to English "Jane," commonly used in Italy and among Italian-speaking communities.
  • E. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • F. None of above.

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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8532c26c819084f5b8de542cd309 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10ffb1f08190aba4c1c860085c92 completed March 21, 2026, 9:43 p.m.
NEDg Description generation batch_69bf14c687908190bafa9f99e10d7698 completed March 21, 2026, 9:59 p.m.
NED2 Entity disambiguation (via description) batch_69bf15675c888190ae8107fdab02aa25 completed March 21, 2026, 10:02 p.m.
Created at: March 20, 2026, 1:53 p.m.