Triple

T15543189
Position Surface form Disambiguated ID Type / Status
Subject Milanese E370533 entity
Predicate hasAlternativeName P39 FINISHED
Object Meneghino
Meneghino is a traditional comic character from Milanese theater and Carnival, known for his witty, down-to-earth personality and distinctive folk costume.
E1163355 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: Meneghino | Statement: [Milanese, hasAlternativeName, Meneghino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meneghino
Context triple: [Milanese, hasAlternativeName, Meneghino]
  • A. Montenars
    Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
  • B. Mirandolesi
    Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
  • C. Metelli
    The Metelli were a prominent branch of the ancient Roman gens Caecilia, known for producing influential politicians and military leaders during the Republic.
  • D. Raniero
    Raniero was the birth name of Pope Paschal II, a medieval pope who led the Catholic Church in the early 12th century.
  • E. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • 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: Meneghino
Triple: [Milanese, hasAlternativeName, Meneghino]
Generated description
Meneghino is a traditional comic character from Milanese theater and Carnival, known for his witty, down-to-earth personality and distinctive folk costume.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Meneghino
Target entity description: Meneghino is a traditional comic character from Milanese theater and Carnival, known for his witty, down-to-earth personality and distinctive folk costume.
  • A. Montenars
    Montenars is a small municipality in the Friuli Venezia Giulia region of northeastern Italy.
  • B. Mirandolesi
    Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
  • C. Metelli
    The Metelli were a prominent branch of the ancient Roman gens Caecilia, known for producing influential politicians and military leaders during the Republic.
  • D. Raniero
    Raniero was the birth name of Pope Paschal II, a medieval pope who led the Catholic Church in the early 12th century.
  • E. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04432c3808190bb5b653bf8de30c6 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4558677881908704ac86c12e1fc4 completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff468d1db88190ad71bc6780df5439 completed May 9, 2026, 2:37 p.m.
NED2 Entity disambiguation (via description) batch_69ff472fb24c8190912755bd95ef50c9 completed May 9, 2026, 2:39 p.m.
Created at: April 10, 2026, 4:07 a.m.