Triple

T21370957
Position Surface form Disambiguated ID Type / Status
Subject Franco Cristaldi E527059 entity
Predicate notableWork P4 FINISHED
Object Yesterday, Today and Tomorrow 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: Yesterday, Today and Tomorrow | Statement: [Franco Cristaldi, notableWork, Yesterday, Today and Tomorrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yesterday, Today and Tomorrow
Context triple: [Franco Cristaldi, notableWork, Yesterday, Today and Tomorrow]
  • A. Yesterday, Today and Tomorrow chosen
    "Yesterday, Today and Tomorrow" is a 1963 Italian anthology comedy film directed by Vittorio De Sica, best known for starring Sophia Loren and Marcello Mastroianni in three interlinked stories.
  • B. Yesterday to Tomorrow
    "Yesterday to Tomorrow" is a song featured on Audioslave's 2005 rock album *Out of Exile*.
  • C. Hurry Tomorrow
    "Hurry Tomorrow" is a song featured on the album *Masterpiece*.
  • D. What Tomorrow Brings
    "What Tomorrow Brings" is a song by the American punk rock band Bad Religion from their album "Age of Unreason."
  • E. Between Today and Yesterday
    Between Today and Yesterday is a 1974 concept album by English musician Alan Price that reflects on working-class life and social change in Britain.
  • 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0ae92c88190a3d3097f5b268a79 completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:10 p.m.