Triple

T12372230
Position Surface form Disambiguated ID Type / Status
Subject Antonio Bazzini E295030 entity
Predicate familyName P18 FINISHED
Object Bazzini
Bazzini is an Italian surname most notably associated with the 19th-century violinist and composer Antonio Bazzini.
 E978151 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: Bazzini | Statement: [Antonio Bazzini, familyName, Bazzini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bazzini
Context triple: [Antonio Bazzini, familyName, Bazzini]
  • A. Tamburini
    Tamburini is an Italian-origin surname borne by various notable figures, including architects, musicians, and designers.
  • B. Bertati
    Bertati is an alternative name for Berta, a given name used in various cultures, often as a diminutive or variant of names like Roberta or Alberta.
  • C. Bertoni
    Bertoni is an Italian trophy and medal manufacturer renowned for crafting the iconic FIFA World Cup Trophy.
  • D. Pigna
    Pigna is a historic village and comune in the Liguria region of northwestern Italy, known for its medieval architecture and scenic mountain setting near the French border.
  • E. Mazzantini
    Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
  • 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: Bazzini
Triple: [Antonio Bazzini, familyName, Bazzini]
Generated description
Bazzini is an Italian surname most notably associated with the 19th-century violinist and composer Antonio Bazzini.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bazzini
Target entity description: Bazzini is an Italian surname most notably associated with the 19th-century violinist and composer Antonio Bazzini.
  • A. Tamburini
    Tamburini is an Italian-origin surname borne by various notable figures, including architects, musicians, and designers.
  • B. Bertati
    Bertati is an alternative name for Berta, a given name used in various cultures, often as a diminutive or variant of names like Roberta or Alberta.
  • C. Bertoni
    Bertoni is an Italian trophy and medal manufacturer renowned for crafting the iconic FIFA World Cup Trophy.
  • D. Pigna
    Pigna is a historic village and comune in the Liguria region of northwestern Italy, known for its medieval architecture and scenic mountain setting near the French border.
  • E. Mazzantini
    Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
  • 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_69d93fa7c9ec81908c685612994543e3 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62abfd9c081909803691d3fc4f149 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62be4de888190aac94d441748d295 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62d4d0b8881908aa6b67db7d14609 completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:54 p.m.