Triple

T12331126
Position Surface form Disambiguated ID Type / Status
Subject La Leocadia E293961 entity
Predicate alsoKnownAs P39 FINISHED
Object Leocadia
Leocadia is a painting by Francisco Goya depicting a somberly dressed woman believed to be his companion, Leocadia Weiss, mourning beside a tomb.
 E979692 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: Leocadia | Statement: [La Leocadia, alsoKnownAs, Leocadia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leocadia
Context triple: [La Leocadia, alsoKnownAs, Leocadia]
  • A. Encarnita
    Encarnita is the birth name of Puerto Rican singer-songwriter Kany García, known for her Latin pop and ballad music.
  • B. Alfonsa
    Alfonsa is a feminine given name, primarily used in Romance-language cultures, derived from the masculine name Alfonso.
  • C. Sanchia
    Sanchia was a 13th-century noblewoman from the House of Provence who became Queen of the Romans through her marriage to Richard of Cornwall.
  • D. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • E. Rosaura
    Rosaura is a central character in Pedro Calderón de la Barca’s Spanish Golden Age play "La vida es sueño," whose quest for honor and identity drives much of the drama’s action and themes.
  • 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: Leocadia
Triple: [La Leocadia, alsoKnownAs, Leocadia]
Generated description
Leocadia is a painting by Francisco Goya depicting a somberly dressed woman believed to be his companion, Leocadia Weiss, mourning beside a tomb.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leocadia
Target entity description: Leocadia is a painting by Francisco Goya depicting a somberly dressed woman believed to be his companion, Leocadia Weiss, mourning beside a tomb.
  • A. Encarnita
    Encarnita is the birth name of Puerto Rican singer-songwriter Kany García, known for her Latin pop and ballad music.
  • B. Alfonsa
    Alfonsa is a feminine given name, primarily used in Romance-language cultures, derived from the masculine name Alfonso.
  • C. Sanchia
    Sanchia was a 13th-century noblewoman from the House of Provence who became Queen of the Romans through her marriage to Richard of Cornwall.
  • D. Clementina
    Clementina is a feminine given name, often considered a variant of Clementine, used in various European and Latin American cultures.
  • E. Rosaura
    Rosaura is a central character in Pedro Calderón de la Barca’s Spanish Golden Age play "La vida es sueño," whose quest for honor and identity drives much of the drama’s action and themes.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f634ee08190b4f533505d402219 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa12f108190851c6958eb35ee5b completed May 2, 2026, 4:47 p.m.
NEDg Description generation batch_69f62be420308190bcb00d8b37b09ea2 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f63050f5d48190881688d12c4c1819 completed May 2, 2026, 5:11 p.m.
Created at: April 8, 2026, 9:53 p.m.