Triple

T9846648
Position Surface form Disambiguated ID Type / Status
Subject Contempt E239356 entity
Predicate producer P490 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: [Contempt, producer, Carlo Ponti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlo Ponti
Context triple: [Contempt, producer, 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb36156308190b26892702f3b41e0 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5e1b67c8190ad7b57ea423511d8 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.