Triple

T3241337
Position Surface form Disambiguated ID Type / Status
Subject Encanto E67970 entity
Predicate character P662 FINISHED
Object Antonio Madrigal
Antonio Madrigal is the youngest member of the magical Madrigal family in Disney's film "Encanto," known for his special ability to communicate with animals.
 E343826 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: Antonio Madrigal | Statement: [Encanto, character, Antonio Madrigal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Antonio Madrigal
Context triple: [Encanto, character, Antonio Madrigal]
  • A. Bruno Madrigal
    Bruno Madrigal is a reclusive, misunderstood uncle with the magical power of seeing the future in Disney’s animated film "Encanto."
  • B. Gonzalo
    Gonzalo is a masculine given name of Spanish origin, historically borne by notable figures such as conquistadors, nobles, and literary characters.
  • C. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • D. Gaspar
    Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
  • E. Joaquín Toesca
    Joaquín Toesca was an 18th-century Italian-born architect who became a key figure in Chilean neoclassical architecture.
  • 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: Antonio Madrigal
Triple: [Encanto, character, Antonio Madrigal]
Generated description
Antonio Madrigal is the youngest member of the magical Madrigal family in Disney's film "Encanto," known for his special ability to communicate with animals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Antonio Madrigal
Target entity description: Antonio Madrigal is the youngest member of the magical Madrigal family in Disney's film "Encanto," known for his special ability to communicate with animals.
  • A. Bruno Madrigal
    Bruno Madrigal is a reclusive, misunderstood uncle with the magical power of seeing the future in Disney’s animated film "Encanto."
  • B. Gonzalo
    Gonzalo is a masculine given name of Spanish origin, historically borne by notable figures such as conquistadors, nobles, and literary characters.
  • C. Vicente
    Vicente is a given name, common in Spanish- and Portuguese-speaking countries, that corresponds to the English name Vincent.
  • D. Gaspar
    Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
  • E. Joaquín Toesca
    Joaquín Toesca was an 18th-century Italian-born architect who became a key figure in Chilean neoclassical architecture.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef76d908190815bb456e366ee0a completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e82f91788190a9b14613eab7a439 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e8e42ecc8190b81d1b64f9fba0c1 completed March 12, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69b2e954ec18819096f31feb9e985b6a completed March 12, 2026, 4:27 p.m.
Created at: March 8, 2026, 3:08 p.m.