Triple

T19807637
Position Surface form Disambiguated ID Type / Status
Subject Domenico Starnone E475855 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object La scuola 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: La scuola | Statement: [Domenico Starnone, wroteScreenplayFor, La scuola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La scuola
Context triple: [Domenico Starnone, wroteScreenplayFor, La scuola]
  • A. El Colegio
    El Colegio is a municipality in the Tequendama Province of Colombia’s Cundinamarca Department, known for its mild climate and proximity to Bogotá.
  • B. A estudante
    A estudante is a significant modernist painting by Brazilian artist Anita Malfatti, exemplifying her bold, expressionist style that helped spark Brazil’s early 20th-century modern art movement.
  • C. The Elementary School chosen
    The Elementary School is a Czech film in which actor Jan Tříska delivered one of his most acclaimed performances.
  • D. In School
    In School is a non-fiction book by former NHL goaltender and Canadian politician Ken Dryden that examines the challenges and possibilities of the modern education system.
  • E. The Making of a Schoolgirl
    The Making of a Schoolgirl is a work by British author and suffragist Evelyn Sharp, reflecting her interest in girls’ lives and education in the late 19th and early 20th centuries.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65428f5c48190be6ae0d6a77675d2 completed April 20, 2026, 4:28 p.m.
Created at: April 10, 2026, 1:49 p.m.