Triple

T20461029
Position Surface form Disambiguated ID Type / Status
Subject Dario Argento E501921 entity
Predicate spouse P13 FINISHED
Object Daria Nicolodi 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: Daria Nicolodi | Statement: [Dario Argento, spouse, Daria Nicolodi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daria Nicolodi
Context triple: [Dario Argento, spouse, Daria Nicolodi]
  • A. Daria Nicolodi chosen
    Daria Nicolodi was an Italian actress and screenwriter best known for her collaborations with director Dario Argento in influential horror films of the 1970s and 1980s.
  • B. Silvia Muccino
    Silvia Muccino is an Italian public figure best known as the daughter of acclaimed film director Gabriele Muccino.
  • C. Cristina Cacciotti
    Cristina Cacciotti is the daughter of the late Emmy-winning American actress Valerie Harper and her husband, actor Tony Cacciotti.
  • D. Nilde Iotti
    Nilde Iotti was a prominent Italian communist politician who became the first woman to serve as President of the Chamber of Deputies in Italy.
  • E. Marta Eggerth
    Marta Eggerth was a Hungarian-born soprano and film actress renowned for her performances in operettas and musical films in Europe and Hollywood during the 1930s and 1940s.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a642648190808709020f91122b completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:33 a.m.