Triple

T801094
Position Surface form Disambiguated ID Type / Status
Subject Miguel Hidalgo y Costilla E17128 entity
Predicate givenName P17 FINISHED
Object Miguel
Miguel is a Spanish given name widely used in the Hispanic world, notably borne by figures such as Mexican independence leader Miguel Hidalgo y Costilla.
 E95446 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: Miguel | Statement: [Miguel Hidalgo y Costilla, givenName, Miguel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miguel
Context triple: [Miguel Hidalgo y Costilla, givenName, Miguel]
  • A. Miguel
    Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
  • B. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • C. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • D. Juan
    Juan Soto is a Dominican professional baseball outfielder widely regarded as one of the best hitters of his generation in Major League Baseball.
  • E. Niña
    Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
  • 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: Miguel
Triple: [Miguel Hidalgo y Costilla, givenName, Miguel]
Generated description
Miguel is a Spanish given name widely used in the Hispanic world, notably borne by figures such as Mexican independence leader Miguel Hidalgo y Costilla.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miguel
Target entity description: Miguel is a Spanish given name widely used in the Hispanic world, notably borne by figures such as Mexican independence leader Miguel Hidalgo y Costilla.
  • A. Miguel
    Miguel is an American R&B singer, songwriter, and producer known for his smooth vocals and genre-blending, atmospheric sound.
  • B. Diego
    Diego is a given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
  • C. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • D. Juan
    Juan Soto is a Dominican professional baseball outfielder widely regarded as one of the best hitters of his generation in Major League Baseball.
  • E. Niña
    Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7cc75e88190bd35aabe51051b51 completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68924e1048190ba60034c8b8b3b9e completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a68a0f581c8190bdb2a9bda9bce1fa completed March 3, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69a6d6042aac8190ba0b092c4b3df66e completed March 3, 2026, 12:37 p.m.
Created at: March 1, 2026, 7:38 p.m.