Triple

T14411770
Position Surface form Disambiguated ID Type / Status
Subject Blancanieves E357344 entity
Predicate character P662 FINISHED
Object Encarna
Encarna is the glamorous yet cruel stepmother and main antagonist in the 2012 Spanish silent film "Blancanieves," a dark reimagining of the Snow White fairy tale.
E1098189 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: Encarna | Statement: [Blancanieves, character, Encarna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Encarna
Context triple: [Blancanieves, character, Encarna]
  • A. Encarnita
    Encarnita is the birth name of Puerto Rican singer-songwriter Kany García, known for her Latin pop and ballad music.
  • B. Rosana
    Rosana is a municipality in the state of São Paulo, Brazil, known for hosting a campus of São Paulo State University (UNESP).
  • C. Rosana
    Rosana is a Brazilian professional footballer known for her successful international career and contributions to top women’s clubs, including Avaldsnes IL.
  • D. Rafaela
    Rafaela is a major city in central Argentina known for its agricultural industry and role as a regional economic center.
  • E. Graciela
    Graciela is a feminine given name of Spanish origin, often considered a variant of Graziella and related to the concept of grace.
  • 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: Encarna
Triple: [Blancanieves, character, Encarna]
Generated description
Encarna is the glamorous yet cruel stepmother and main antagonist in the 2012 Spanish silent film "Blancanieves," a dark reimagining of the Snow White fairy tale.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Encarna
Target entity description: Encarna is the glamorous yet cruel stepmother and main antagonist in the 2012 Spanish silent film "Blancanieves," a dark reimagining of the Snow White fairy tale.
  • A. Encarnita
    Encarnita is the birth name of Puerto Rican singer-songwriter Kany García, known for her Latin pop and ballad music.
  • B. Rosana
    Rosana is a Brazilian professional footballer known for her successful international career and contributions to top women’s clubs, including Avaldsnes IL.
  • C. Rosana
    Rosana is a municipality in the state of São Paulo, Brazil, known for hosting a campus of São Paulo State University (UNESP).
  • D. Rafaela
    Rafaela is a major city in central Argentina known for its agricultural industry and role as a regional economic center.
  • E. Graciela
    Graciela is a feminine given name of Spanish origin, often considered a variant of Graziella and related to the concept of grace.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90c9b3448190aec1608836a5e913 completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd55269d8c81909592277741a93db6 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd58216a8c8190b1fffcb670f15e16 completed May 8, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69fd589144b8819099aadef126b8728f completed May 8, 2026, 3:29 a.m.
Created at: April 10, 2026, 1:17 a.m.