Triple

T20415731
Position Surface form Disambiguated ID Type / Status
Subject Lucentio E500706 entity
Predicate servedBy P82 FINISHED
Object Biondello
Biondello is a comic servant character in William Shakespeare’s play "The Taming of the Shrew," known for assisting Lucentio in his schemes.
 E1428873 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: Biondello | Statement: [Lucentio, servedBy, Biondello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Biondello
Context triple: [Lucentio, servedBy, Biondello]
  • A. Bonino
    Bonino is an Italian surname borne by various notable figures in politics, sports, and the arts.
  • B. Baciocchi
    Baciocchi is an Italian surname most notably associated with Félix Baciocchi, a Corsican nobleman and brother-in-law of Napoleon Bonaparte.
  • C. Zanetto
    Zanetto is a one-act opera by Italian composer Pietro Mascagni, known for its intimate, lyrical style and concise dramatic structure.
  • D. Benaducci
    Benaducci is the Italian family name of Lorenzo Boturini Benaducci, an 18th-century historian and antiquarian known for his work on New Spain and Mesoamerican codices.
  • E. Bertinelli
    Bertinelli is an Italian-origin surname most prominently associated with American actress and television personality Valerie Bertinelli.
  • 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: Biondello
Triple: [Lucentio, servedBy, Biondello]
Generated description
Biondello is a comic servant character in William Shakespeare’s play "The Taming of the Shrew," known for assisting Lucentio in his schemes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Biondello
Target entity description: Biondello is a comic servant character in William Shakespeare’s play "The Taming of the Shrew," known for assisting Lucentio in his schemes.
  • A. Bonino
    Bonino is an Italian surname borne by various notable figures in politics, sports, and the arts.
  • B. Baciocchi
    Baciocchi is an Italian surname most notably associated with Félix Baciocchi, a Corsican nobleman and brother-in-law of Napoleon Bonaparte.
  • C. Zanetto
    Zanetto is a one-act opera by Italian composer Pietro Mascagni, known for its intimate, lyrical style and concise dramatic structure.
  • D. Benaducci
    Benaducci is the Italian family name of Lorenzo Boturini Benaducci, an 18th-century historian and antiquarian known for his work on New Spain and Mesoamerican codices.
  • E. Bertinelli
    Bertinelli is an Italian-origin surname most prominently associated with American actress and television personality Valerie Bertinelli.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a437eec8190a20c89a236dd5bc0 completed April 20, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087b284bb8819090f76ec27116c619 completed May 16, 2026, 2:11 p.m.
NEDg Description generation batch_6a088017be588190ab94b8180e44ebf4 completed May 16, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_6a0880c45e1081908f439ade0c31a47e completed May 16, 2026, 2:35 p.m.
Created at: April 16, 2026, 11:30 a.m.