Triple

T6762221
Position Surface form Disambiguated ID Type / Status
Subject Sasha Alexander E154621 entity
Predicate fatherInLaw P18081 FINISHED
Object Carlo Ponti E320052 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: Carlo Ponti | Statement: [Sasha Alexander, fatherInLaw, Carlo Ponti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlo Ponti
Context triple: [Sasha Alexander, fatherInLaw, Carlo Ponti]
  • A. Carlo Ponti chosen
    Carlo Ponti was an influential Italian film producer best known for his collaborations with major directors and for producing films starring his wife, Sophia Loren.
  • B. Carlo Ponti Jr.
    Carlo Ponti Jr. is an Italian orchestral conductor and the son of actress Sophia Loren and film producer Carlo Ponti.
  • C. Christian De Sica
    Christian De Sica is an Italian actor and director best known for his prolific work in Italian comedy films and as the son of legendary filmmaker Vittorio De Sica.
  • D. Guido Pontecorvo
    Guido Pontecorvo was an Italian geneticist renowned for his pioneering work in microbial genetics and the study of gene mapping using fungi.
  • E. Corrado Feroci
    Corrado Feroci was an Italian-born sculptor who became a leading figure in modern Thai art and is best known for his monumental public works in Bangkok.
  • 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.