Triple

T22473030
Position Surface form Disambiguated ID Type / Status
Subject Giuseppe Amato E555553 entity
Predicate workedWith P398 FINISHED
Object Luigi Zampa
Luigi Zampa was an Italian film director known for his socially conscious comedies and dramas that critiqued postwar Italian society.
E1541123 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: Luigi Zampa | Statement: [Giuseppe Amato, workedWith, Luigi Zampa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luigi Zampa
Context triple: [Giuseppe Amato, workedWith, Luigi Zampa]
  • A. Carlo Leone
    Carlo Leone is an American politician who has served as a Democratic member of the Connecticut State Senate.
  • B. Luigino
    Luigino is an Italian given name, typically a diminutive form of Luigi.
  • C. Enrico Morando
    Enrico Morando is an Italian politician associated with the center-left who has held prominent leadership roles within Italy’s left-wing parties.
  • D. Vincenzo Scaramuzza
    Vincenzo Scaramuzza was an influential Italian-Argentine piano teacher and pedagogue, renowned for shaping the technique and artistry of major pianists including Martha Argerich.
  • E. Antonio Scarpacci
    Antonio Scarpacci is a lovable, eccentric Italian cab driver and immigrant character from the sitcom "Wings," known for his humorous misunderstandings and thick accent.
  • 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: Luigi Zampa
Triple: [Giuseppe Amato, workedWith, Luigi Zampa]
Generated description
Luigi Zampa was an Italian film director known for his socially conscious comedies and dramas that critiqued postwar Italian society.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luigi Zampa
Target entity description: Luigi Zampa was an Italian film director known for his socially conscious comedies and dramas that critiqued postwar Italian society.
  • A. Carlo Leone
    Carlo Leone is an American politician who has served as a Democratic member of the Connecticut State Senate.
  • B. Luigino
    Luigino is an Italian given name, typically a diminutive form of Luigi.
  • C. Enrico Morando
    Enrico Morando is an Italian politician associated with the center-left who has held prominent leadership roles within Italy’s left-wing parties.
  • D. Vincenzo Scaramuzza
    Vincenzo Scaramuzza was an influential Italian-Argentine piano teacher and pedagogue, renowned for shaping the technique and artistry of major pianists including Martha Argerich.
  • E. Antonio Scarpacci
    Antonio Scarpacci is a lovable, eccentric Italian cab driver and immigrant character from the sitcom "Wings," known for his humorous misunderstandings and thick accent.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be2034c81909d1263f2ed114b46 completed April 29, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b17d8e3d88190877fe9efb9d167c4 completed May 18, 2026, 1:44 p.m.
NEDg Description generation batch_6a0b1ad323e08190b6a72d618f8297d9 completed May 18, 2026, 1:57 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1b8fb29c8190a29c53bb5ed1d065 completed May 18, 2026, 2 p.m.
Created at: April 16, 2026, 8:49 p.m.