Triple

T13700611
Position Surface form Disambiguated ID Type / Status
Subject La meglio gioventù E328504 entity
Predicate hasEnglishTitle P3437 FINISHED
Object The Best of Youth E1044849 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: The Best of Youth | Statement: [La meglio gioventù, hasEnglishTitle, The Best of Youth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Best of Youth
Context triple: [La meglio gioventù, hasEnglishTitle, The Best of Youth]
  • A. The Best of Youth chosen
    The Best of Youth is a critically acclaimed Italian epic drama film that follows the lives of two brothers over several decades, reflecting major social and political changes in Italy.
  • B. Along With Youth
    "Along With Youth" is a short story by Ernest Hemingway that appears in his early collection "Three Stories and Ten Poems."
  • C. This Is Our Youth
    This Is Our Youth is a critically acclaimed stage play by Kenneth Lonergan that portrays the aimlessness and moral drift of affluent New York City teenagers in the early 1980s.
  • D. The Best of Men
    The Best of Men is a work by British author and publisher George Faber, reflecting his literary craftsmanship beyond his influential role at Faber and Faber.
  • E. The Best of Everything
    The Best of Everything is a 1959 romantic drama film, based on Rona Jaffe’s novel, that follows the intertwined careers and love lives of young women working at a New York publishing house.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794575d3881908de6ed988d848918 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.