Triple

T17002346
Position Surface form Disambiguated ID Type / Status
Subject Benito Pérez Galdós E412477 entity
Predicate notableWork P4 FINISHED
Object Fortunata y Jacinta E148780 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: Fortunata y Jacinta | Statement: [Benito Pérez Galdós, notableWork, Fortunata y Jacinta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fortunata y Jacinta
Context triple: [Benito Pérez Galdós, notableWork, Fortunata y Jacinta]
  • A. Fortunata y Jacinta chosen
    Fortunata y Jacinta is a classic 19th-century realist novel by Spanish author Benito Pérez Galdós that explores love, class, and social change in Madrid through the intertwined lives of two women connected to the same man.
  • B. Marianela
    Marianela is a feminine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • C. Señora de Meirás
    Señora de Meirás was the noble title held by Carmen Polo, the wife of Spanish dictator Francisco Franco, associated with the Meirás estate in Galicia.
  • D. Julita
    Julita is a feminine given name, commonly used as a diminutive or variant of Julia in various languages and cultures.
  • E. Julita
    Julita is a small municipality located on the island of Leyte in the Eastern Visayas region of the Philippines.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37f8ba88190b8d32a1d09b6e6fd completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc1e2f708190999f6fab16fdabe8 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.