Triple

T9431273
Position Surface form Disambiguated ID Type / Status
Subject La Galatea E227379 entity
Predicate mainCharacters P9202 FINISHED
Object Lisandro
Lisandro is a central pastoral character in Miguel de Cervantes’ novel *La Galatea*, embodying the themes of love and poetic idealism typical of the work.
 E800431 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: Lisandro | Statement: [La Galatea, mainCharacters, Lisandro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lisandro
Context triple: [La Galatea, mainCharacters, Lisandro]
  • A. Diego de Losada
    Diego de Losada was a 16th-century Spanish conquistador best known for founding the city of Caracas in present-day Venezuela.
  • B. Luis Federico
    Luis Federico was an Argentine physician and biochemist who won the 1970 Nobel Prize in Chemistry for his discovery of sugar nucleotides and their role in carbohydrate biosynthesis.
  • C. Néstor
    Néstor is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • D. Manuel Devalos
    Manuel Devalos is a fictional district attorney and key supporting character in the supernatural drama TV series "Medium," known for working closely with psychic Allison DuBois on criminal cases.
  • E. Eduardo Luis
    Eduardo Luis is an actor known for playing the character Trash.
  • 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: Lisandro
Triple: [La Galatea, mainCharacters, Lisandro]
Generated description
Lisandro is a central pastoral character in Miguel de Cervantes’ novel *La Galatea*, embodying the themes of love and poetic idealism typical of the work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lisandro
Target entity description: Lisandro is a central pastoral character in Miguel de Cervantes’ novel *La Galatea*, embodying the themes of love and poetic idealism typical of the work.
  • A. Diego de Losada
    Diego de Losada was a 16th-century Spanish conquistador best known for founding the city of Caracas in present-day Venezuela.
  • B. Luis Federico
    Luis Federico was an Argentine physician and biochemist who won the 1970 Nobel Prize in Chemistry for his discovery of sugar nucleotides and their role in carbohydrate biosynthesis.
  • C. Néstor
    Néstor is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
  • D. Manuel Devalos
    Manuel Devalos is a fictional district attorney and key supporting character in the supernatural drama TV series "Medium," known for working closely with psychic Allison DuBois on criminal cases.
  • E. Eduardo Luis
    Eduardo Luis is an actor known for playing the character Trash.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7e5ed7408190beda5fb078e9345a completed April 1, 2026, 8:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122484a90819080e406a7ae5c61fe completed April 4, 2026, 2:38 p.m.
NEDg Description generation batch_69d1231adb4481908fac11cae099d0de completed April 4, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69d123fcc8f48190838abd08a4af0a63 completed April 4, 2026, 2:45 p.m.
Created at: March 30, 2026, 7:49 p.m.