Triple

T7855664
Position Surface form Disambiguated ID Type / Status
Subject Antoinette E182168 entity
Predicate relatedName P3889 FINISHED
Object Antonietta
Antonietta is a feminine given name, primarily used in Italian-speaking regions, that is a variant of the name Antoinette.
E708145 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: Antonietta | Statement: [Antoinette, relatedName, Antonietta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonietta
Context triple: [Antoinette, relatedName, Antonietta]
  • A. Giuseppina
    Giuseppina is an Italian feminine given name, commonly considered the female form of Giuseppe (Joseph).
  • B. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • C. Giuliana
    Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
  • D. Patrizia
    Patrizia is an Italian given name, typically the Italian form of "Patricia," used for women.
  • E. Marietta Robusti
    Marietta Robusti was a 16th-century Venetian painter, renowned as the talented daughter and collaborator of the master artist Tintoretto.
  • 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: Antonietta
Triple: [Antoinette, relatedName, Antonietta]
Generated description
Antonietta is a feminine given name, primarily used in Italian-speaking regions, that is a variant of the name Antoinette.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Antonietta
Target entity description: Antonietta is a feminine given name, primarily used in Italian-speaking regions, that is a variant of the name Antoinette.
  • A. Giuseppina
    Giuseppina is an Italian feminine given name, commonly considered the female form of Giuseppe (Joseph).
  • B. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • C. Giuliana
    Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
  • D. Patrizia
    Patrizia is an Italian given name, typically the Italian form of "Patricia," used for women.
  • E. Marietta Robusti
    Marietta Robusti was a 16th-century Venetian painter, renowned as the talented daughter and collaborator of the master artist Tintoretto.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a74592c8190b42f298e3e33617b completed March 31, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc560e96f0819080031a1a3781422a completed March 31, 2026, 11:17 p.m.
NEDg Description generation batch_69cc58a76b90819092de63b3b23e70af completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cfccc9c8190adcbaee96c17711e completed March 31, 2026, 11:47 p.m.
Created at: March 30, 2026, 4:52 p.m.