Triple

T19176387
Position Surface form Disambiguated ID Type / Status
Subject Don Bosco Anthony Boselli Jr. E469447 entity
Predicate familyName P18 FINISHED
Object Boselli 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: Boselli | Statement: [Don Bosco Anthony Boselli Jr., familyName, Boselli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boselli
Context triple: [Don Bosco Anthony Boselli Jr., familyName, Boselli]
  • A. Boselli chosen
    Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
  • B. Lombriasco
    Lombriasco is a small municipality in the Piedmont region of northwestern Italy, situated in the Metropolitan City of Turin.
  • C. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • D. Borrelli
    Borrelli is an Italian surname most notably associated with Francesco Saverio Borrelli, a prominent magistrate and leading figure in Italy’s Mani Pulite anti-corruption investigations.
  • E. Barelli
    Barelli is an Italian surname associated with figures such as the 17th-century architect Agostino Barelli.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f6181f0c8190b344072db0b7abbb completed April 20, 2026, 9:47 a.m.
Created at: April 10, 2026, 12:07 p.m.