Triple

T12373849
Position Surface form Disambiguated ID Type / Status
Subject Laura Bellelli E295069 entity
Predicate name P16 FINISHED
Object Laura Bellelli
Laura Bellelli is an Italian diplomat who has served in various high-level roles representing Italy abroad.
E979315 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: Laura Bellelli | Statement: [Laura Bellelli, name, Laura Bellelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Bellelli
Context triple: [Laura Bellelli, name, Laura Bellelli]
  • A. Andrea Belli
    Andrea Belli was an 18th-century Maltese architect and businessman best known for his prominent Baroque works in Valletta.
  • B. Laura Balbo
    Laura Balbo is an Italian sociologist, feminist, and politician known for her work on social inequality, gender studies, and her role as Italy’s Minister for Equal Opportunities.
  • C. Laura Barbieri
    Laura Barbieri is known as the wife of Argentine jazz saxophonist and composer Gato Barbieri.
  • D. Laura Martinozzi
    Laura Martinozzi was an Italian noblewoman and duchess of Modena, a niece of Cardinal Mazarin and a politically influential figure in 17th-century Italy.
  • E. Antonia Zambelli
    Antonia Zambelli was the wife of renowned Italian luthier Antonio Stradivari, associated with his life and family in Cremona during the late 17th and early 18th centuries.
  • 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: Laura Bellelli
Triple: [Laura Bellelli, name, Laura Bellelli]
Generated description
Laura Bellelli is an Italian diplomat who has served in various high-level roles representing Italy abroad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laura Bellelli
Target entity description: Laura Bellelli is an Italian diplomat who has served in various high-level roles representing Italy abroad.
  • A. Andrea Belli
    Andrea Belli was an 18th-century Maltese architect and businessman best known for his prominent Baroque works in Valletta.
  • B. Laura Balbo
    Laura Balbo is an Italian sociologist, feminist, and politician known for her work on social inequality, gender studies, and her role as Italy’s Minister for Equal Opportunities.
  • C. Laura Barbieri
    Laura Barbieri is known as the wife of Argentine jazz saxophonist and composer Gato Barbieri.
  • D. Laura Martinozzi
    Laura Martinozzi was an Italian noblewoman and duchess of Modena, a niece of Cardinal Mazarin and a politically influential figure in 17th-century Italy.
  • E. Antonia Zambelli
    Antonia Zambelli was the wife of renowned Italian luthier Antonio Stradivari, associated with his life and family in Cremona during the late 17th and early 18th centuries.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa8ca7c8190b3f8e9c2ec23e837 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac1e82c8190abb46ca5799e6680 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62ef1cc4481909bc9fc768a9ef1f2 completed May 2, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69f62f808b1481908f529decdbfc5be6 completed May 2, 2026, 5:08 p.m.
Created at: April 8, 2026, 9:54 p.m.