Triple

T19680904
Position Surface form Disambiguated ID Type / Status
Subject Pietro Frua E472582 entity
Predicate name P16 FINISHED
Object Pietro Frua 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: Pietro Frua | Statement: [Pietro Frua, name, Pietro Frua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pietro Frua
Context triple: [Pietro Frua, name, Pietro Frua]
  • A. Pietro Frua chosen
    Pietro Frua was an influential Italian automobile designer known for his elegant coachbuilt sports cars and luxury sedans of the 1950s and 1960s.
  • B. Nuccio Bertone
    Nuccio Bertone was an influential Italian automobile designer and coachbuilder who led the Bertone design house and helped shape the styling of many iconic sports and concept cars of the 20th century.
  • C. Marco Zanuso
    Marco Zanuso was an influential Italian architect and industrial designer known for his pioneering modernist furniture and product designs in the mid-20th century.
  • D. Giovanni Bertone
    Giovanni Bertone was an Italian automobile designer and entrepreneur best known as the founder of the famed Carrozzeria Bertone coachbuilding and design firm.
  • E. Edoardo Ponti
    Edoardo Ponti is an Italian film director, screenwriter, and producer known for his work in both European and American cinema.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641bf97348190bc31b00ed4ec6cad completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.