Triple

T6340739
Position Surface form Disambiguated ID Type / Status
Subject Sant’Anna E142616 entity
Predicate hasVariant P455 FINISHED
Object Santanna
Santanna is a variant spelling of the Italian surname and place name Sant’Anna, commonly associated with individuals and locations in Italian-speaking regions.
 E586181 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: Santanna | Statement: [Sant’Anna, hasVariant, Santanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Santanna
Context triple: [Sant’Anna, hasVariant, Santanna]
  • A. Aroldo
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • B. Amarildo
    Amarildo is a former Brazilian footballer best known as a forward who starred for Botafogo and the Brazil national team in the early 1960s.
  • C. Plácido
    Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
  • D. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • E. Ambrosio
    Ambrosio is the devout yet ultimately corrupt and tragic monastic protagonist of Matthew Gregory Lewis’s Gothic novel "The Monk."
  • 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: Santanna
Triple: [Sant’Anna, hasVariant, Santanna]
Generated description
Santanna is a variant spelling of the Italian surname and place name Sant’Anna, commonly associated with individuals and locations in Italian-speaking regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Santanna
Target entity description: Santanna is a variant spelling of the Italian surname and place name Sant’Anna, commonly associated with individuals and locations in Italian-speaking regions.
  • A. Aroldo
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • B. Amarildo
    Amarildo is a former Brazilian footballer best known as a forward who starred for Botafogo and the Brazil national team in the early 1960s.
  • C. Plácido
    Plácido is the given name of the renowned Spanish operatic tenor and conductor Plácido Domingo.
  • D. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • E. Ambrosio
    Ambrosio is the devout yet ultimately corrupt and tragic monastic protagonist of Matthew Gregory Lewis’s Gothic novel "The Monk."
  • 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_69c008d5ab108190b346c465696824a9 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0674311388190bb069a07a7ff60ef completed March 22, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6043afb4081908d480ad868625909 completed March 27, 2026, 4:14 a.m.
NEDg Description generation batch_69c605eb80308190b2c2f0d1f35b060d completed March 27, 2026, 4:22 a.m.
NED2 Entity disambiguation (via description) batch_69c6065044908190b2ba71490a3bae54 completed March 27, 2026, 4:23 a.m.
Created at: March 22, 2026, 4:30 p.m.