Triple

T1861901
Position Surface form Disambiguated ID Type / Status
Subject Arturo Prat Chacón E34832 entity
Predicate givenName P17 FINISHED
Object Arturo
Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
 E243576 NE FINISHED

How this triple was built (4 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: Arturo | Statement: [Arturo Prat Chacón, givenName, Arturo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arturo
Context triple: [Arturo Prat Chacón, givenName, Arturo]
  • A. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • B. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • C. Arsenio
    Arsenio is a masculine given name of Spanish origin, historically borne by several notable figures in Spanish-speaking countries.
  • D. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Enrico
    Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arturo
Triple: [Arturo Prat Chacón, givenName, Arturo]
Generated description
Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arturo
Target entity description: Arturo is a masculine given name of Spanish and Italian origin, equivalent to Arthur in English.
  • A. Eugenio
    Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
  • B. Eduardo
    Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
  • C. Arsenio
    Arsenio is a masculine given name of Spanish origin, historically borne by several notable figures in Spanish-speaking countries.
  • D. Ernesto
    Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • E. Enrico
    Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
  • F. None of above. chosen

Provenance (5 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09e714881909cef0f7e77b5b3b9 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d7ffb9c8190adbe64b75bb048d4 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae614cdba48190b7bd0db95e5d3aad completed March 9, 2026, 5:57 a.m.
NED2 Entity disambiguation (via description) batch_69ae61c3df388190bf8566fb8127b523 completed March 9, 2026, 5:59 a.m.
Created at: March 4, 2026, 7:34 p.m.