Triple

T12326600
Position Surface form Disambiguated ID Type / Status
Subject Gianni Schicchi E293844 entity
Predicate character P662 FINISHED
Object Lauretta
Lauretta is a young soprano role in Puccini’s one-act opera *Gianni Schicchi*, best known for singing the famous aria “O mio babbino caro.”
 E983636 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: Lauretta | Statement: [Gianni Schicchi, character, Lauretta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lauretta
Context triple: [Gianni Schicchi, character, Lauretta]
  • A. Arnella
    Arnella is a feminine given name, notably borne by Arnella Flynn, the daughter of actor Errol Flynn.
  • B. Lorena
    Lorena is a city in the state of São Paulo, Brazil, known for hosting a campus of the University of São Paulo.
  • C. Arletta
    Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
  • D. Lelia
    Lelia is the given name of A'Lelia Walker, an influential African-American businesswoman and patron of the arts during the Harlem Renaissance.
  • E. Claretta
    Claretta was the nickname of Claretta Petacci, the Italian mistress of dictator Benito Mussolini who was executed alongside him in 1945.
  • 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: Lauretta
Triple: [Gianni Schicchi, character, Lauretta]
Generated description
Lauretta is a young soprano role in Puccini’s one-act opera *Gianni Schicchi*, best known for singing the famous aria “O mio babbino caro.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lauretta
Target entity description: Lauretta is a young soprano role in Puccini’s one-act opera *Gianni Schicchi*, best known for singing the famous aria “O mio babbino caro.”
  • A. Arnella
    Arnella is a feminine given name, notably borne by Arnella Flynn, the daughter of actor Errol Flynn.
  • B. Lorena
    Lorena is a city in the state of São Paulo, Brazil, known for hosting a campus of the University of São Paulo.
  • C. Arletta
    Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
  • D. Lelia
    Lelia is the given name of A'Lelia Walker, an influential African-American businesswoman and patron of the arts during the Harlem Renaissance.
  • E. Claretta
    Claretta was the nickname of Claretta Petacci, the Italian mistress of dictator Benito Mussolini who was executed alongside him in 1945.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4f90a881908c5060dd197744d1 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63eefad508190be266c776525a7cc completed May 2, 2026, 6:14 p.m.
NEDg Description generation batch_69f6400fe9888190ae8244ccc8e8bc39 completed May 2, 2026, 6:18 p.m.
NED2 Entity disambiguation (via description) batch_69f64168d23881908daee7d7cba2160d completed May 2, 2026, 6:24 p.m.
Created at: April 8, 2026, 9:53 p.m.