Triple

T19491775
Position Surface form Disambiguated ID Type / Status
Subject Maria Scicolone E487668 entity
Predicate name P16 FINISHED
Object Maria Scicolone 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: Maria Scicolone | Statement: [Maria Scicolone, name, Maria Scicolone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Scicolone
Context triple: [Maria Scicolone, name, Maria Scicolone]
  • A. Maria Scicolone chosen
    Maria Scicolone is an Italian television personality, author, and singer, also known as the younger sister of actress Sophia Loren.
  • B. Maria Colacurcio
    Maria Colacurcio is an American technology executive and entrepreneur best known as a co-founder of Smartsheet and for her leadership roles in data-driven workplace equity and HR tech companies.
  • C. Anna Finocchiaro
    Anna Finocchiaro is an Italian politician and long-serving parliamentarian who has held prominent roles in center-left parties and in the Italian government.
  • D. Maria Orefice
    Maria Orefice was the mother of Adriana Caselotti, the American singer and voice actress best known for originating the voice of Snow White in Disney’s 1937 animated film.
  • E. Maria Bellonci
    Maria Bellonci was an Italian writer and biographer renowned for her historical novels and for promoting contemporary literature in Italy.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6348e01b88190a513d0e256161fcd completed April 20, 2026, 2:13 p.m.
Created at: April 10, 2026, 1:39 p.m.