Triple

T14146489
Position Surface form Disambiguated ID Type / Status
Subject Giuseppina E350562 entity
Predicate hasCommonNickname P56482 FINISHED
Object Beppina
Beppina is an Italian diminutive or affectionate nickname commonly used for the female given name Giuseppina.
 E1081589 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: Beppina | Statement: [Giuseppina, hasCommonNickname, Beppina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Beppina
Context triple: [Giuseppina, hasCommonNickname, Beppina]
  • A. Gilberta
    Gilberta is a feminine given name, typically considered the female form of Gilbert and used in various European languages.
  • B. Ainaro
    Ainaro is a mountainous municipality in central-southern Timor-Leste known for its rural communities and use of the Mambae language.
  • C. Despina
    Despina is a small inner moon of Neptune known for its irregular shape and close, rapid orbit around the planet.
  • D. Despina
    Despina is the clever and mischievous maid in Mozart’s opera "Così fan tutte," known for orchestrating much of the comic intrigue.
  • E. Catalyna
    Catalyna is a feminine given name, typically considered a modern or stylized variant of the name Catalina/Catalina.
  • 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: Beppina
Triple: [Giuseppina, hasCommonNickname, Beppina]
Generated description
Beppina is an Italian diminutive or affectionate nickname commonly used for the female given name Giuseppina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Beppina
Target entity description: Beppina is an Italian diminutive or affectionate nickname commonly used for the female given name Giuseppina.
  • A. Gilberta
    Gilberta is a feminine given name, typically considered the female form of Gilbert and used in various European languages.
  • B. Ainaro
    Ainaro is a mountainous municipality in central-southern Timor-Leste known for its rural communities and use of the Mambae language.
  • C. Despina
    Despina is a small inner moon of Neptune known for its irregular shape and close, rapid orbit around the planet.
  • D. Despina
    Despina is the clever and mischievous maid in Mozart’s opera "Così fan tutte," known for orchestrating much of the comic intrigue.
  • E. Catalyna
    Catalyna is a feminine given name, typically considered a modern or stylized variant of the name Catalina/Catalina.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de612266248190a8591b646fe30ae6 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf1d8c448190bd223258b28fecc9 completed May 7, 2026, 6:51 p.m.
NEDg Description generation batch_69fce113c11481908751ecf62afc29a5 completed May 7, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69fce1a848f081909d96849a14230be1 completed May 7, 2026, 7:02 p.m.
Created at: April 10, 2026, 12:54 a.m.