Triple

T14030187
Position Surface form Disambiguated ID Type / Status
Subject Gaspar Fagel E337567 entity
Predicate givenName P17 FINISHED
Object Gaspar E325462 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: Gaspar | Statement: [Gaspar Fagel, givenName, Gaspar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaspar
Context triple: [Gaspar Fagel, givenName, Gaspar]
  • A. Gaspar
    Gaspar is a municipality in the Vale do Itajaí region of Santa Catarina, Brazil, known for its textile industry and strong German-Brazilian cultural heritage.
  • B. Gaspar chosen
    Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
  • C. Pascual
    Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • D. Gutierre
    Gutierre is a Spanish given name, historically used in medieval Iberia and related to names like Walter.
  • E. Basilio
    Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa9f8248190930954d609dee5f1 completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8a9eeff48190b8aa9a601574395a completed May 8, 2026, 7:02 a.m.
Created at: April 9, 2026, 10:20 p.m.