Triple

T13700828
Position Surface form Disambiguated ID Type / Status
Subject La cena di Natale E328511 entity
Predicate hasCastMember P2308 FINISHED
Object Antonio Gerardi
Antonio Gerardi is an Italian actor known for his roles in contemporary Italian cinema and television.
E1367419 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: Antonio Gerardi | Statement: [La cena di Natale, hasCastMember, Antonio Gerardi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio Gerardi
Context triple: [La cena di Natale, hasCastMember, Antonio Gerardi]
  • A. Antonio Alessio
    Antonio Alessio was an Italian aircraft designer known for his work on the Reggiane Re.2000 fighter aircraft before and during World War II.
  • B. Antonio Contino
    Antonio Contino was a Venetian architect best known for designing the iconic Bridge of Sighs in Venice, Italy.
  • C. Armando Gallo
    Armando Gallo is a lighting designer known for his work on major international events, including the Pyeongchang Olympic Stadium ceremonies.
  • D. Antonio Rinaldi
    Antonio Rinaldi was an 18th-century Italian architect active in Russia, known for introducing refined Baroque and early Neoclassical styles to several imperial residences.
  • E. Antonio Rinaldi
    Antonio Rinaldi is a cinematographer best known for his work on Italian genre films, including the gothic horror movie "Baron Blood."
  • 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: Antonio Gerardi
Triple: [La cena di Natale, hasCastMember, Antonio Gerardi]
Generated description
Antonio Gerardi is an Italian actor known for his roles in contemporary Italian cinema and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Antonio Gerardi
Target entity description: Antonio Gerardi is an Italian actor known for his roles in contemporary Italian cinema and television.
  • A. Antonio Alessio
    Antonio Alessio was an Italian aircraft designer known for his work on the Reggiane Re.2000 fighter aircraft before and during World War II.
  • B. Antonio Contino
    Antonio Contino was a Venetian architect best known for designing the iconic Bridge of Sighs in Venice, Italy.
  • C. Armando Gallo
    Armando Gallo is a lighting designer known for his work on major international events, including the Pyeongchang Olympic Stadium ceremonies.
  • D. Antonio Rinaldi
    Antonio Rinaldi is a cinematographer best known for his work on Italian genre films, including the gothic horror movie "Baron Blood."
  • E. Antonio Rinaldi
    Antonio Rinaldi was an 18th-century Italian architect active in Russia, known for introducing refined Baroque and early Neoclassical styles to several imperial residences.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a070e5292288190b004fa44e560eeff completed May 15, 2026, 12:15 p.m.
NEDg Description generation batch_6a070f2772e881909b3ea02f51c3feb6 completed May 15, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_6a070fe766d081909453b1f8563817e8 completed May 15, 2026, 12:21 p.m.
Created at: April 9, 2026, 9:54 p.m.