Triple

T17177564
Position Surface form Disambiguated ID Type / Status
Subject Sofia Villani Scicolone E416899 entity
Predicate child P120 FINISHED
Object Edoardo Ponti E433995 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: Edoardo Ponti | Statement: [Sofia Villani Scicolone, child, Edoardo Ponti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edoardo Ponti
Context triple: [Sofia Villani Scicolone, child, 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 (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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0ee5008190a73875b39841fd9f completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148455afc8190931ba1316705ae0c completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.