Triple

T23133320
Position Surface form Disambiguated ID Type / Status
Subject Mario Girotti E577238 entity
Predicate notableWork P4 FINISHED
Object Don Matteo NE NERFINISHED

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: Don Matteo | Statement: [Mario Girotti, notableWork, Don Matteo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Matteo
Context triple: [Mario Girotti, notableWork, Don Matteo]
  • A. Don Matteo chosen
    Don Matteo is an Italian television series about a wise and compassionate Catholic priest who helps solve crimes in his small town, portrayed by actor Terence Hill.
  • B. Dominick Pangallo
    Dominick Pangallo is an American politician serving as the mayor of Salem, Massachusetts.
  • C. Angelo Lonardo
    Angelo Lonardo was a prominent American mobster who rose to become a powerful leader in the Cleveland crime family before later turning government witness.
  • D. Dominick Saponaro
    Dominick Saponaro is an illustrator and cover artist known for creating dynamic, detailed artwork for fantasy and science fiction novels.
  • E. Dominick Napolitano
    Dominick Napolitano was a Brooklyn-based caporegime in the Bonanno crime family, known for his role in the Donnie Brasco undercover FBI operation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e89cce881908727a94dbc00e031 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.