Triple

T7514446
Position Surface form Disambiguated ID Type / Status
Subject La Celestina E177603 entity
Predicate character P662 FINISHED
Object Sempronio
Sempronio is one of Calisto’s servants in the Spanish tragicomedy "La Celestina," known for his complicity with the procuress Celestina and his self-serving betrayal.
E670751 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: Sempronio | Statement: [La Celestina, character, Sempronio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sempronio
Context triple: [La Celestina, character, Sempronio]
  • A. Quintus
    Quintus is a traditional Latin praenomen (given name) commonly used in ancient Rome, often indicating the fifth-born child or associated with the number five.
  • B. Aelius
    Aelius is an ancient Roman family name (nomen) associated with several notable figures of the Roman Empire, including emperors and high-ranking officials.
  • C. Aulus
    Aulus is a common Roman praenomen (given name) frequently used among men in ancient Rome.
  • D. Aemilius
    Aemilius is an ancient Roman family name (nomen) from which the French given name Émile ultimately derives.
  • E. Gnaeus Manlius Vulso
    Gnaeus Manlius Vulso was a Roman consul and general of the 2nd century BC, best known for leading a successful campaign in Asia Minor that expanded Roman influence in the region.
  • 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: Sempronio
Triple: [La Celestina, character, Sempronio]
Generated description
Sempronio is one of Calisto’s servants in the Spanish tragicomedy "La Celestina," known for his complicity with the procuress Celestina and his self-serving betrayal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sempronio
Target entity description: Sempronio is one of Calisto’s servants in the Spanish tragicomedy "La Celestina," known for his complicity with the procuress Celestina and his self-serving betrayal.
  • A. Quintus
    Quintus is a traditional Latin praenomen (given name) commonly used in ancient Rome, often indicating the fifth-born child or associated with the number five.
  • B. Aelius
    Aelius is an ancient Roman family name (nomen) associated with several notable figures of the Roman Empire, including emperors and high-ranking officials.
  • C. Aulus
    Aulus is a common Roman praenomen (given name) frequently used among men in ancient Rome.
  • D. Aemilius
    Aemilius is an ancient Roman family name (nomen) from which the French given name Émile ultimately derives.
  • E. Gnaeus Manlius Vulso
    Gnaeus Manlius Vulso was a Roman consul and general of the 2nd century BC, best known for leading a successful campaign in Asia Minor that expanded Roman influence in the region.
  • 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.