Triple

T29097279
Position Surface form Disambiguated ID Type / Status
Subject SS Virginian E735041 entity
Predicate hasAlternativeTitleOfWorkItAppearsIn P107399 FINISHED
Object La leggenda del pianista sull’oceano LITERAL 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: La leggenda del pianista sull’oceano | Statement: [SS Virginian, hasAlternativeTitleOfWorkItAppearsIn, La leggenda del pianista sull’oceano]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAlternativeTitleOfWorkItAppearsIn
Context triple: [SS Virginian, hasAlternativeTitleOfWorkItAppearsIn, La leggenda del pianista sull’oceano]
  • A. haveAlternativeTitle
    Indicates that an entity is known by one or more alternative titles or names in addition to its primary title.
  • B. hasAlternativeEditionTitle chosen
    Indicates that an entity has a different or variant title used in another edition of the same work.
  • C. hasAlternativeTitleCombination
    Indicates that an entity is associated with one or more alternative titles considered together as a specific combination or set.
  • D. hasTitleInOriginalWork
    Indicates that an entity holds a specific title or designation within its original work or source context.
  • E. alternateInterpretationOfTitle
    Indicates that one title is an alternative interpretation or reading of another title, reflecting a different way the original title can be understood.
  • F. None of above.

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_69f05b0ed66481908f2e864fa550d2f1 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f74062b9388190b30546cf700a825c completed May 3, 2026, 12:32 p.m.
PD Predicate disambiguation batch_69f73c802b848190b61a416b7488bd96 completed May 3, 2026, 12:16 p.m.
Created at: April 28, 2026, 11:09 a.m.