Triple

T18455650
Position Surface form Disambiguated ID Type / Status
Subject Isabel Perón E450896 entity
Predicate alsoKnownAs P39 FINISHED
Object Isabelita
Isabelita is the nickname of Isabel Perón, the former president of Argentina and the world's first female president.
 E1326129 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: Isabelita | Statement: [Isabel Perón, alsoKnownAs, Isabelita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Isabelita
Context triple: [Isabel Perón, alsoKnownAs, Isabelita]
  • A. Enriqueta
    Enriqueta is a feminine given name of Spanish origin, often associated with historical and cultural figures in Spanish-speaking countries.
  • B. Leonor
    Leonor is the given name of Leonor Fini, a renowned Argentine-Italian surrealist painter and designer known for her fantastical, often erotic imagery and strong, unconventional female figures.
  • C. Isabella
    Isabella was a Portuguese noblewoman of the House of Braganza who held the title of Duchess of Guimarães in the 16th century.
  • D. Isabella
    Isabella van Nassau-Beverweerd was a 17th-century Dutch noblewoman from the influential House of Nassau.
  • E. Isabella
    Isabella was a Spanish Habsburg archduchess who governed the Spanish Netherlands in the late 16th and early 17th centuries.
  • 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: Isabelita
Triple: [Isabel Perón, alsoKnownAs, Isabelita]
Generated description
Isabelita is the nickname of Isabel Perón, the former president of Argentina and the world's first female president.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Isabelita
Target entity description: Isabelita is the nickname of Isabel Perón, the former president of Argentina and the world's first female president.
  • A. Enriqueta
    Enriqueta is a feminine given name of Spanish origin, often associated with historical and cultural figures in Spanish-speaking countries.
  • B. Leonor
    Leonor is the given name of Leonor Fini, a renowned Argentine-Italian surrealist painter and designer known for her fantastical, often erotic imagery and strong, unconventional female figures.
  • C. Isabella
    Isabella was a Portuguese noblewoman of the House of Braganza who held the title of Duchess of Guimarães in the 16th century.
  • D. Isabella
    Isabella van Nassau-Beverweerd was a 17th-century Dutch noblewoman from the influential House of Nassau.
  • E. Isabella
    Isabella was a Spanish Habsburg archduchess who governed the Spanish Netherlands in the late 16th and early 17th centuries.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264c10408190b2085ade88655c7d completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a043f20eb288190820e7be96bbbc416 completed May 13, 2026, 9:06 a.m.
NEDg Description generation batch_6a043fc897408190ac2f6625ce23c93d completed May 13, 2026, 9:09 a.m.
NED2 Entity disambiguation (via description) batch_6a044095d4b48190aeb30ecb37609da3 completed May 13, 2026, 9:12 a.m.
Created at: April 10, 2026, 11:31 a.m.