Triple

T7514444
Position Surface form Disambiguated ID Type / Status
Subject La Celestina E177603 entity
Predicate mainCharacter P1183 FINISHED
Object Melibea
Melibea is the noble young woman in the Spanish tragicomedy "La Celestina," whose passionate and ill-fated love affair with Calisto drives the work’s central drama.
 E670750 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: Melibea | Statement: [La Celestina, mainCharacter, Melibea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Melibea
Context triple: [La Celestina, mainCharacter, Melibea]
  • A. Myrta
    Myrta is a feminine given name, often used in various cultures and sometimes appearing in literature and media as a character name.
  • B. Ainaro
    Ainaro is a mountainous municipality in central-southern Timor-Leste known for its rural communities and use of the Mambae language.
  • C. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • D. Dardanella
    Dardanella is a popular early 20th-century jazz and dance band standard, best known through Ben Selvin’s hugely successful recording.
  • E. Pylia
    Pylia is a figure in Greek mythology known primarily as the mother of Aegeus, the legendary king of Athens and father of Theseus.
  • 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: Melibea
Triple: [La Celestina, mainCharacter, Melibea]
Generated description
Melibea is the noble young woman in the Spanish tragicomedy "La Celestina," whose passionate and ill-fated love affair with Calisto drives the work’s central drama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Melibea
Target entity description: Melibea is the noble young woman in the Spanish tragicomedy "La Celestina," whose passionate and ill-fated love affair with Calisto drives the work’s central drama.
  • A. Myrta
    Myrta is a feminine given name, often used in various cultures and sometimes appearing in literature and media as a character name.
  • B. Ainaro
    Ainaro is a mountainous municipality in central-southern Timor-Leste known for its rural communities and use of the Mambae language.
  • C. Mella
    Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
  • D. Dardanella
    Dardanella is a popular early 20th-century jazz and dance band standard, best known through Ben Selvin’s hugely successful recording.
  • E. Pylia
    Pylia is a figure in Greek mythology known primarily as the mother of Aegeus, the legendary king of Athens and father of Theseus.
  • 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_69c84619aac8819083a1d7380f4b30d3 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c847d251f081909f77d851be07948c completed March 28, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69c8487229548190861491b1b0720adb completed March 28, 2026, 9:30 p.m.
Created at: March 27, 2026, 3:45 p.m.