Triple

T6762218
Position Surface form Disambiguated ID Type / Status
Subject Sasha Alexander E154621 entity
Predicate spouse P13 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: [Sasha Alexander, spouse, Edoardo Ponti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edoardo Ponti
Context triple: [Sasha Alexander, spouse, 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. Alfredo Guzzoni
    Alfredo Guzzoni was an Italian army general who commanded Axis forces in Sicily during World War II.
  • C. 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.
  • D. Marcello Gandini
    Marcello Gandini is an Italian automotive designer renowned for his innovative and angular designs for brands such as Lamborghini, Lancia, and Citroën.
  • E. Carlo Broggi
    Carlo Broggi was an Italian architect best known for his role in designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d21444dc8190a290af86c81e96a5 completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712b6ec408190bd9131f289b02ba7 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:12 p.m.