Triple

T13730236
Position Surface form Disambiguated ID Type / Status
Subject Angélique E329776 entity
Predicate relatedName P3889 FINISHED
Object Angélica
Angélica is a feminine given name of Romance-language origin, commonly used in Spanish- and Portuguese-speaking countries.
 E1056673 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: Angélica | Statement: [Angélique, relatedName, Angélica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Angélica
Context triple: [Angélique, relatedName, Angélica]
  • A. Maria de Luna
    Maria de Luna was a powerful 14th–15th century Aragonese noblewoman and queen consort renowned for her political influence, capable governance, and patronage of religious and charitable works.
  • B. Tita De la Garza
    Tita De la Garza is the passionate, magically gifted protagonist of Laura Esquivel’s novel "Like Water for Chocolate," whose emotions infuse the food she cooks.
  • C. Rosita
    Rosita is a shy but talented pig and devoted mother who becomes a standout performer in the animated musical film "Sing."
  • D. Rosita
    Rosita is a bilingual, turquoise monster Muppet on Sesame Street known for introducing Spanish language and Latino culture to the show.
  • E. Gabriela
    Gabriela is a key character in Paulo Coelho’s novel "The Winner Stands Alone," representing the struggles and aspirations of an ambitious actress navigating the superficial world of fame and celebrity.
  • 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: Angélica
Triple: [Angélique, relatedName, Angélica]
Generated description
Angélica is a feminine given name of Romance-language origin, commonly used in Spanish- and Portuguese-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Angélica
Target entity description: Angélica is a feminine given name of Romance-language origin, commonly used in Spanish- and Portuguese-speaking countries.
  • A. Maria de Luna
    Maria de Luna was a powerful 14th–15th century Aragonese noblewoman and queen consort renowned for her political influence, capable governance, and patronage of religious and charitable works.
  • B. Tita De la Garza
    Tita De la Garza is the passionate, magically gifted protagonist of Laura Esquivel’s novel "Like Water for Chocolate," whose emotions infuse the food she cooks.
  • C. Rosita
    Rosita is a shy but talented pig and devoted mother who becomes a standout performer in the animated musical film "Sing."
  • D. Rosita
    Rosita is a bilingual, turquoise monster Muppet on Sesame Street known for introducing Spanish language and Latino culture to the show.
  • E. Gabriela
    Gabriela is a key character in Paulo Coelho’s novel "The Winner Stands Alone," representing the struggles and aspirations of an ambitious actress navigating the superficial world of fame and celebrity.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f92b588190be97ec4564dddd59 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d65062c819086a5f7a7ebc45412 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e1a90408190936cb71e567e10aa completed May 3, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69f79ee74ea48190a4c753b12bb9190e completed May 3, 2026, 7:15 p.m.
Created at: April 9, 2026, 9:55 p.m.