Triple

T13841051
Position Surface form Disambiguated ID Type / Status
Subject Fernandel E332655 entity
Predicate notableCharacter P1481 FINISHED
Object Don Camillo
Don Camillo is a fictional hot-tempered yet kind-hearted Italian village priest best known from Giovannino Guareschi’s humorous stories and their film adaptations.
E1063863 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: Don Camillo | Statement: [Fernandel, notableCharacter, Don Camillo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Camillo
Context triple: [Fernandel, notableCharacter, Don Camillo]
  • A. Paolo Paschetto
    Paolo Paschetto was an Italian artist and graphic designer best known for creating the emblem of the Italian Republic.
  • B. Signor Neroni
    Signor Neroni is the estranged and morally dubious husband of Madeline Neroni in Anthony Trollope’s novel "Barchester Towers."
  • C. Adone Zoli
    Adone Zoli was an Italian Christian Democratic politician who served as Prime Minister of Italy in the late 1950s.
  • D. Peppino di Capri
    Peppino di Capri is an Italian singer and musician known for his romantic pop songs and long-standing popularity in Italy since the 1960s.
  • E. Peppino Turco
    Peppino Turco was an Italian journalist and poet best known for writing the lyrics to the famous Neapolitan song "Funiculì, Funiculà."
  • 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: Don Camillo
Triple: [Fernandel, notableCharacter, Don Camillo]
Generated description
Don Camillo is a fictional hot-tempered yet kind-hearted Italian village priest best known from Giovannino Guareschi’s humorous stories and their film adaptations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Don Camillo
Target entity description: Don Camillo is a fictional hot-tempered yet kind-hearted Italian village priest best known from Giovannino Guareschi’s humorous stories and their film adaptations.
  • A. Paolo Paschetto
    Paolo Paschetto was an Italian artist and graphic designer best known for creating the emblem of the Italian Republic.
  • B. Signor Neroni
    Signor Neroni is the estranged and morally dubious husband of Madeline Neroni in Anthony Trollope’s novel "Barchester Towers."
  • C. Adone Zoli
    Adone Zoli was an Italian Christian Democratic politician who served as Prime Minister of Italy in the late 1950s.
  • D. Peppino di Capri
    Peppino di Capri is an Italian singer and musician known for his romantic pop songs and long-standing popularity in Italy since the 1960s.
  • E. Peppino Turco
    Peppino Turco was an Italian journalist and poet best known for writing the lyrics to the famous Neapolitan song "Funiculì, Funiculà."
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02ae5e4c8190ad85ad2968bc71b2 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f630d081909439e1cdc5d60430 completed May 3, 2026, 9:07 p.m.
NEDg Description generation batch_69f7bb3bb7288190b981a9439304124d completed May 3, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69f7bbac5a148190990ac56759e527cd completed May 3, 2026, 9:18 p.m.
Created at: April 9, 2026, 10:13 p.m.