Triple

T13796722
Position Surface form Disambiguated ID Type / Status
Subject Street Law E331535 entity
Predicate editedBy P1954 FINISHED
Object Antonio Siciliano E871564 NE FINISHED

How this triple was built (2 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 Siciliano | Statement: [Street Law, editedBy, Antonio Siciliano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antonio Siciliano
Context triple: [Street Law, editedBy, Antonio Siciliano]
  • A. Antonio Siciliano chosen
    Antonio Siciliano is a film editor known for his work on Italian genre cinema, including the giallo film "The Red Queen Kills Seven Times."
  • B. Bruno Siciliano
    Bruno Siciliano is an Italian roboticist and professor renowned for his influential research, leadership, and educational contributions in the field of robotics and automation.
  • C. Antonio Quarracino
    Antonio Quarracino was an Argentine cardinal of the Roman Catholic Church who served as Archbishop of Buenos Aires and played a key role in the ecclesiastical career of Pope Francis.
  • D. 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.
  • E. Antonio Contino
    Antonio Contino was a Venetian architect best known for designing the iconic Bridge of Sighs in Venice, Italy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025be1f08190aac525d72d7dc0c3 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fcdeefd61c81908d189237af45467a completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:11 p.m.