Triple

T17595499
Position Surface form Disambiguated ID Type / Status
Subject Fortunata E428558 entity
Predicate title P38 FINISHED
Object Fortunata 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: Fortunata | Statement: [Fortunata, title, Fortunata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fortunata
Context triple: [Fortunata, title, Fortunata]
  • A. Fortunata chosen
    Fortunata is an Italian drama film in which Pierfrancesco Favino delivers a prominent performance.
  • B. Fortunata
    Fortunata is the passionate, lower-class heroine of Benito Pérez Galdós’s realist novel "Fortunata y Jacinta," whose tumultuous love affair and social struggles drive much of the story’s drama.
  • C. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • D. Giovannina
    Giovannina is an Italian feminine given name, typically used as a diminutive or affectionate form of Giovanna.
  • E. Donata
    Donata is an Italian feminine given name of Latin origin, traditionally meaning "given" or "gifted."
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ead59c8190a06519311891af3c completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.