Triple

T1688554
Position Surface form Disambiguated ID Type / Status
Subject Bettina E36497 entity
Predicate derivedFrom P909 FINISHED
Object Benedetta
Benedetta is an Italian feminine given name, equivalent to "Benedicta" and commonly used in Italy and other Italian-speaking communities.
 E192548 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: Benedetta | Statement: [Bettina, derivedFrom, Benedetta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Benedetta
Context triple: [Bettina, derivedFrom, Benedetta]
  • A. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • B. Caterina Tezio
    Caterina Tezio was the wife of renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • C. Leonora
    Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
  • D. Vannozza dei Cattanei
    Vannozza dei Cattanei was an Italian noblewoman best known as the long-time mistress of Rodrigo Borgia (later Pope Alexander VI) and the mother of several of his acknowledged children, including Cesare and Lucrezia Borgia.
  • E. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • 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: Benedetta
Triple: [Bettina, derivedFrom, Benedetta]
Generated description
Benedetta is an Italian feminine given name, equivalent to "Benedicta" and commonly used in Italy and other Italian-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Benedetta
Target entity description: Benedetta is an Italian feminine given name, equivalent to "Benedicta" and commonly used in Italy and other Italian-speaking communities.
  • A. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • B. Caterina Tezio
    Caterina Tezio was the wife of renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • C. Leonora
    Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
  • D. Vannozza dei Cattanei
    Vannozza dei Cattanei was an Italian noblewoman best known as the long-time mistress of Rodrigo Borgia (later Pope Alexander VI) and the mother of several of his acknowledged children, including Cesare and Lucrezia Borgia.
  • E. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6296655c8190835ec0d20f7460ca completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8ac462f0819094e7a5751c6975c6 completed March 8, 2026, 2:42 p.m.
NEDg Description generation batch_69ad9575acf88190aa3fe80794534dd4 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97a7128c819097ff36216f00d4f9 completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:29 p.m.