Triple

T10019007
Position Surface form Disambiguated ID Type / Status
Subject Massimiliano E199567 entity
Predicate hasFeminineForm P1613 FINISHED
Object Massimiliana
Massimiliana is an Italian feminine given name, serving as the female counterpart of Massimiliano.
E836312 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: Massimiliana | Statement: [Massimiliano, hasFeminineForm, Massimiliana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massimiliana
Context triple: [Massimiliano, hasFeminineForm, Massimiliana]
  • A. Giuliana
    Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
  • B. Paolina
    Paolina is a feminine given name, commonly used in Italian and other European languages, that is a variant of names like Paulina or Paula.
  • C. Maria Laura
    Maria Laura is a Belgian princess and Archduchess of Austria-Este, a member of both the Belgian royal family and the House of Habsburg-Lorraine.
  • D. Maria Clementina
    Maria Clementina was a Polish noblewoman and Jacobite consort best known as the wife of James Francis Edward Stuart, the Old Pretender, and mother of Charles Edward Stuart, the Young Pretender.
  • E. Giuseppina
    Giuseppina is an Italian feminine given name, commonly considered the female form of Giuseppe (Joseph).
  • 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: Massimiliana
Triple: [Massimiliano, hasFeminineForm, Massimiliana]
Generated description
Massimiliana is an Italian feminine given name, serving as the female counterpart of Massimiliano.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Massimiliana
Target entity description: Massimiliana is an Italian feminine given name, serving as the female counterpart of Massimiliano.
  • A. Giuliana
    Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
  • B. Paolina
    Paolina is a feminine given name, commonly used in Italian and other European languages, that is a variant of names like Paulina or Paula.
  • C. Maria Laura
    Maria Laura is a Belgian princess and Archduchess of Austria-Este, a member of both the Belgian royal family and the House of Habsburg-Lorraine.
  • D. Maria Clementina
    Maria Clementina was a Polish noblewoman and Jacobite consort best known as the wife of James Francis Edward Stuart, the Old Pretender, and mother of Charles Edward Stuart, the Young Pretender.
  • E. Giuseppina
    Giuseppina is an Italian feminine given name, commonly considered the female form of Giuseppe (Joseph).
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4f3a988190892cc698109be8b8 completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26aaa38188190aed8c18eccd8a79d completed April 5, 2026, 1:59 p.m.
NEDg Description generation batch_69d26b84271881909c3a1b8a05e2c8a2 completed April 5, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69d26f50dc008190866f0ba45b671560 completed April 5, 2026, 2:18 p.m.
Created at: March 30, 2026, 8:53 p.m.