Triple

T10861352
Position Surface form Disambiguated ID Type / Status
Subject Mayte Garcia E256411 entity
Predicate givenName P17 FINISHED
Object Mayte
Mayte is a Spanish feminine given name, often used as a diminutive of María Teresa or similar compound names.
E891274 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: Mayte | Statement: [Mayte Garcia, givenName, Mayte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayte
Context triple: [Mayte Garcia, givenName, Mayte]
  • A. Mayte
    Mayte is the given first name of American actress Michelle Rodriguez, known for her roles in action films and the Fast & Furious franchise.
  • B. Mama Cocha
    Mama Cocha is a sea and water goddess in Inca mythology, revered as a protective mother figure of the oceans and sailors.
  • C. Maraita
    Maraita is a small municipality located in the Francisco Morazán Department of central Honduras.
  • D. Paquisha
    Paquisha is a locality in southeastern Ecuador known primarily for giving its name to the 1981 Paquisha War between Ecuador and Peru.
  • E. Sheyla
    Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
  • 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: Mayte
Triple: [Mayte Garcia, givenName, Mayte]
Generated description
Mayte is a Spanish feminine given name, often used as a diminutive of María Teresa or similar compound names.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mayte
Target entity description: Mayte is a Spanish feminine given name, often used as a diminutive of María Teresa or similar compound names.
  • A. Mayte
    Mayte is the given first name of American actress Michelle Rodriguez, known for her roles in action films and the Fast & Furious franchise.
  • B. Mama Cocha
    Mama Cocha is a sea and water goddess in Inca mythology, revered as a protective mother figure of the oceans and sailors.
  • C. Maraita
    Maraita is a small municipality located in the Francisco Morazán Department of central Honduras.
  • D. Paquisha
    Paquisha is a locality in southeastern Ecuador known primarily for giving its name to the 1981 Paquisha War between Ecuador and Peru.
  • E. Sheyla
    Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
  • 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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7515186f08190a5cc388a7d936c4f completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d350748190821a4413c1eb7106 completed April 15, 2026, 8:40 p.m.
NEDg Description generation batch_69e0b498df2481908c964d53b1782774 completed April 16, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69e11e21fc2c8190878a877ecd3b465e completed April 16, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:20 p.m.