Triple

T17576031
Position Surface form Disambiguated ID Type / Status
Subject Donato E428071 entity
Predicate hasFeminineForm P1613 FINISHED
Object Donata 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: Donata | Statement: [Donato, hasFeminineForm, Donata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donata
Context triple: [Donato, hasFeminineForm, Donata]
  • A. Donata chosen
    Donata is an Italian feminine given name of Latin origin, traditionally meaning "given" or "gifted."
  • B. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • C. Giovannina
    Giovannina is an Italian feminine given name, typically used as a diminutive or affectionate form of Giovanna.
  • D. Lodoletta
    Lodoletta is an opera in three acts by Italian composer Pietro Mascagni, known for its verismo style and tragic love story.
  • E. 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.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463c88b3081908ddf6a2a12f6138e completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.