Triple

T11724834
Position Surface form Disambiguated ID Type / Status
Subject Ciriaco De Mita E278736 entity
Predicate givenName P17 FINISHED
Object Ciriaco E931362 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: Ciriaco | Statement: [Ciriaco De Mita, givenName, Ciriaco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ciriaco
Context triple: [Ciriaco De Mita, givenName, Ciriaco]
  • A. Ciriaco chosen
    Ciriaco is a variant of the name of Saint Cyriacus, an early Christian martyr venerated in various Christian traditions.
  • B. Paolino
    Paolino is an Italian given name and surname, typically a diminutive form of Paolo used for people and occasionally for places or cultural references.
  • C. Cipriano
    Cipriano is a masculine given name of Spanish origin, historically borne by figures such as the Protestant reformer and Bible translator Cipriano de Valera.
  • D. Elicio
    Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
  • E. Epifanio
    Epifanio is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d603cc8190b2e68d0bdd793362 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83d9fe70819089b9f3585188f96c completed April 27, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:41 p.m.