Triple

T3917535
Position Surface form Disambiguated ID Type / Status
Subject Romano Mussolini E88877 entity
Predicate spouse P13 FINISHED
Object Maria Scicolone E112679 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: Maria Scicolone | Statement: [Romano Mussolini, spouse, Maria Scicolone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria Scicolone
Context triple: [Romano Mussolini, spouse, 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. Claudia Squitieri
    Claudia Squitieri is the daughter of renowned Italian actress Claudia Cardinale and Italian film director Pasquale Squitieri.
  • C. Laura Martinozzi
    Laura Martinozzi was an Italian noblewoman and duchess of Modena, a niece of Cardinal Mazarin and a politically influential figure in 17th-century Italy.
  • D. Francesca Lo Schiavo
    Francesca Lo Schiavo is an acclaimed Italian set decorator and art director, renowned for her lavish period designs and multiple Academy Award-winning work on major international films.
  • E. Roberta Romano
    Roberta Romano is a prominent American legal scholar known for her influential work on corporate law and governance, and for serving as a long-time professor at Yale Law School.
  • 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed5797508190adaddb84575d9bb3 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b3d66ec819087616d434d594095 completed March 14, 2026, 2:05 p.m.
Created at: March 9, 2026, 3:22 p.m.