Triple

T2539593
Position Surface form Disambiguated ID Type / Status
Subject Antonio E56351 entity
Predicate hasDiminutive P456 FINISHED
Object Toño
Toño is a common Spanish diminutive form of the given name Antonio, often used as an affectionate nickname.
E277168 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: Toño | Statement: [Antonio, hasDiminutive, Toño]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toño
Context triple: [Antonio, hasDiminutive, Toño]
  • A. Cansino
    Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
  • B. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. Paco
    Paco is a riverside district in Manila, Philippines, known for its historic sites, markets, and dense urban neighborhoods.
  • D. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • E. Pascual
    Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • 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: Toño
Triple: [Antonio, hasDiminutive, Toño]
Generated description
Toño is a common Spanish diminutive form of the given name Antonio, often used as an affectionate nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Toño
Target entity description: Toño is a common Spanish diminutive form of the given name Antonio, often used as an affectionate nickname.
  • A. Cansino
    Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
  • B. Ramón
    Ramón is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • C. Paco
    Paco is a riverside district in Manila, Philippines, known for its historic sites, markets, and dense urban neighborhoods.
  • D. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • E. Pascual
    Pascual is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd29b44448190ba4f82b0c1425f21 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cff8d188190844b177b5d3952b0 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5d9dcf608190b580beb10619ab86 completed March 9, 2026, 11:54 p.m.
NED2 Entity disambiguation (via description) batch_69af5e781360819080b4b96942beb17d completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:47 p.m.