Triple

T18130520
Position Surface form Disambiguated ID Type / Status
Subject Edoardo Ponti E433995 entity
Predicate name P16 FINISHED
Object Edoardo Ponti 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: Edoardo Ponti | Statement: [Edoardo Ponti, name, Edoardo Ponti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edoardo Ponti
Context triple: [Edoardo Ponti, name, Edoardo Ponti]
  • A. Edoardo Ponti chosen
    Edoardo Ponti is an Italian film director, screenwriter, and producer known for his work in both European and American cinema.
  • B. Giuseppe Tagliabue
    Giuseppe Tagliabue is an Italian former professional footballer known for playing as a defender in Serie A during the mid-20th century.
  • C. Cesare Cassina
    Cesare Cassina was an influential Italian entrepreneur and design patron who helped shape postwar Italian furniture and lighting design through his leadership in companies like Cassina and Flos.
  • D. Alfredo Guzzoni
    Alfredo Guzzoni was an Italian army general who commanded Axis forces in Sicily during World War II.
  • E. Pietro Frua
    Pietro Frua was an influential Italian automobile designer known for his elegant coachbuilt sports cars and luxury sedans of the 1950s and 1960s.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf1e2508190993f65ca137fdf63 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.