Triple

T11440500
Position Surface form Disambiguated ID Type / Status
Subject Teatro Blanquita E271131 entity
Predicate namedAfter P63 FINISHED
Object Blanquita
Blanquita is the namesake figure—likely an influential woman or performer—after whom Mexico City’s historic Teatro Blanquita was named.
 E926701 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: Blanquita | Statement: [Teatro Blanquita, namedAfter, Blanquita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blanquita
Context triple: [Teatro Blanquita, namedAfter, Blanquita]
  • A. Blanca
    Blanca is a feminine given name, common in Spanish-speaking cultures, that corresponds to the English and French name Blanche.
  • B. La Blanquilla
    La Blanquilla is a small, sparsely inhabited Caribbean island of Venezuela known for its white-sand beaches, clear waters, and rich marine life popular with divers.
  • C. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • D. La Rojita
    La Rojita is the nickname of Spain’s under-21 national football team, renowned for developing many of the country’s future senior stars.
  • E. Paloma Blanca
    "Paloma Blanca" is a 1975 international hit pop song by Dutch singer George Baker, known for its light, cheerful melody and enduring popularity.
  • 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: Blanquita
Triple: [Teatro Blanquita, namedAfter, Blanquita]
Generated description
Blanquita is the namesake figure—likely an influential woman or performer—after whom Mexico City’s historic Teatro Blanquita was named.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blanquita
Target entity description: Blanquita is the namesake figure—likely an influential woman or performer—after whom Mexico City’s historic Teatro Blanquita was named.
  • A. Blanca
    Blanca is a feminine given name, common in Spanish-speaking cultures, that corresponds to the English and French name Blanche.
  • B. La Blanquilla
    La Blanquilla is a small, sparsely inhabited Caribbean island of Venezuela known for its white-sand beaches, clear waters, and rich marine life popular with divers.
  • C. Mariquita
    Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
  • D. La Rojita
    La Rojita is the nickname of Spain’s under-21 national football team, renowned for developing many of the country’s future senior stars.
  • E. Paloma Blanca
    "Paloma Blanca" is a 1975 international hit pop song by Dutch singer George Baker, known for its light, cheerful melody and enduring popularity.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d80888190c8190b6365550ffe4931c completed April 9, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d39554c48190969cc0ebd4dbc368 completed April 20, 2026, 7:19 a.m.
NEDg Description generation batch_69e5d91b047c81909ea4c7f114bfbba5 completed April 20, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69e5e2de4cd081908d30c44853565029 completed April 20, 2026, 8:25 a.m.
Created at: April 8, 2026, 9:35 p.m.