Triple

T5073556
Position Surface form Disambiguated ID Type / Status
Subject Ignacio E114337 entity
Predicate hasVariant P455 FINISHED
Object Inácio
Inácio is a given name commonly used in Portuguese-speaking countries, equivalent to the Spanish name Ignacio.
 E492940 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: Inácio | Statement: [Ignacio, hasVariant, Inácio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Inácio
Context triple: [Ignacio, hasVariant, Inácio]
  • A. Nicolau
    Nicolau is a given name, commonly used in Catalan and Portuguese, equivalent to the Spanish name Nicolás.
  • B. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • C. Basílio
    Basílio is a Portuguese given name, equivalent to Basil, commonly used in Lusophone countries.
  • D. Ignatius Petosega
    Ignatius Petosega was a Native American leader, known as Chief Ignatius Petosega, associated with the Odawa (Ottawa) people and the region around Petoskey, Michigan.
  • E. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • 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: Inácio
Triple: [Ignacio, hasVariant, Inácio]
Generated description
Inácio is a given name commonly used in Portuguese-speaking countries, equivalent to the Spanish name Ignacio.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Inácio
Target entity description: Inácio is a given name commonly used in Portuguese-speaking countries, equivalent to the Spanish name Ignacio.
  • A. Nicolau
    Nicolau is a given name, commonly used in Catalan and Portuguese, equivalent to the Spanish name Nicolás.
  • B. Gregorio
    Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
  • C. Basílio
    Basílio is a Portuguese given name, equivalent to Basil, commonly used in Lusophone countries.
  • D. Ignatius Petosega
    Ignatius Petosega was a Native American leader, known as Chief Ignatius Petosega, associated with the Odawa (Ottawa) people and the region around Petoskey, Michigan.
  • E. Raimundo
    Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74cfa4348190bc50590117a6bcf9 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb11600ac81908661759839ebfc98 completed March 21, 2026, 2:54 p.m.
NEDg Description generation batch_69beb36d1f50819083b7789a3654c51a completed March 21, 2026, 3:04 p.m.
NED2 Entity disambiguation (via description) batch_69beb48d2a8881909aab831f657d9f13 completed March 21, 2026, 3:09 p.m.
Created at: March 20, 2026, 1:39 p.m.