Triple

T7514449
Position Surface form Disambiguated ID Type / Status
Subject La Celestina E177603 entity
Predicate character P662 FINISHED
Object Elicia
Elicia is a secondary character in the Spanish tragicomedy "La Celestina," depicted as a young prostitute and companion of Celestina who contributes to the work’s themes of desire, greed, and social corruption.
 E671158 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: Elicia | Statement: [La Celestina, character, Elicia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elicia
Context triple: [La Celestina, character, Elicia]
  • A. Alicia
    Alicia is the given name of the American singer, songwriter, and pianist Alicia Keys, known for her soulful R&B music and powerful vocals.
  • B. Felicia
    Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
  • C. Ellah
    Ellah is a given name, typically used as a feminine variant of the name Ella.
  • D. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • E. Glennis
    Glennis is a feminine given name, best known for belonging to Glennis Dickhouse Yeager, the wife of test pilot Chuck Yeager and namesake of the Bell X-1 aircraft "Glamorous Glennis."
  • 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: Elicia
Triple: [La Celestina, character, Elicia]
Generated description
Elicia is a secondary character in the Spanish tragicomedy "La Celestina," depicted as a young prostitute and companion of Celestina who contributes to the work’s themes of desire, greed, and social corruption.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elicia
Target entity description: Elicia is a secondary character in the Spanish tragicomedy "La Celestina," depicted as a young prostitute and companion of Celestina who contributes to the work’s themes of desire, greed, and social corruption.
  • A. Alicia
    Alicia is the given name of the American singer, songwriter, and pianist Alicia Keys, known for her soulful R&B music and powerful vocals.
  • B. Felicia
    Felicia is a feminine given name of Latin origin meaning "happy" or "fortunate," used in various cultures around the world.
  • C. Ellah
    Ellah is a given name, typically used as a feminine variant of the name Ella.
  • D. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • E. Glennis
    Glennis is a feminine given name, best known for belonging to Glennis Dickhouse Yeager, the wife of test pilot Chuck Yeager and namesake of the Bell X-1 aircraft "Glamorous Glennis."
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5d6ccb08190a568a9b58bfbd0cc completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84ef834608190bf425f99222a4bc5 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c85119c2f08190ba9a0ddecb312497 completed March 28, 2026, 10:07 p.m.
NED2 Entity disambiguation (via description) batch_69c8519d6bcc81908a0b04e3a683efb4 completed March 28, 2026, 10:09 p.m.
Created at: March 27, 2026, 3:45 p.m.