Triple

T1198078
Position Surface form Disambiguated ID Type / Status
Subject Mirta Díaz-Balart E25713 entity
Predicate givenName P17 FINISHED
Object Mirta
Mirta is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
 E139653 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: Mirta | Statement: [Mirta Díaz-Balart, givenName, Mirta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mirta
Context triple: [Mirta Díaz-Balart, givenName, Mirta]
  • A. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • B. Pilar
    Pilar is a strong-willed, perceptive Spanish guerrilla fighter who plays a central role in Ernest Hemingway’s novel "For Whom the Bell Tolls."
  • C. Pilar
    Pilar is a riverside city in southwestern Paraguay known for its colonial architecture, river port activities, and proximity to the border with Argentina.
  • D. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • E. Amada Cruz
    Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
  • 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: Mirta
Triple: [Mirta Díaz-Balart, givenName, Mirta]
Generated description
Mirta is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mirta
Target entity description: Mirta is a feminine given name of Spanish origin commonly used in Spanish-speaking countries.
  • A. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • B. Pilar
    Pilar is a strong-willed, perceptive Spanish guerrilla fighter who plays a central role in Ernest Hemingway’s novel "For Whom the Bell Tolls."
  • C. Pilar
    Pilar is a riverside city in southwestern Paraguay known for its colonial architecture, river port activities, and proximity to the border with Argentina.
  • D. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • E. Amada Cruz
    Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9c013c8190822d44d465d60fdb completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac831703bc8190839deb02075cb8fd completed March 7, 2026, 7:57 p.m.
NEDg Description generation batch_69ac838fc3d08190aa43d7f2767fe7d2 completed March 7, 2026, 7:59 p.m.
NED2 Entity disambiguation (via description) batch_69ac8425ab408190a25c0f5db40ae77f completed March 7, 2026, 8:01 p.m.
Created at: March 1, 2026, 7:46 p.m.