Triple

T17100968
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Lima E414978 entity
Predicate positionHeldBy P8 FINISHED
Object Susana Villarán
Susana Villarán is a Peruvian politician and human rights activist who became the first woman elected as mayor of Lima.
E1323712 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: Susana Villarán | Statement: [Mayor of Lima, positionHeldBy, Susana Villarán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susana Villarán
Context triple: [Mayor of Lima, positionHeldBy, Susana Villarán]
  • A. María Cortés
    María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
  • B. Carmen Calvo
    Carmen Calvo is a Spanish conceptual artist known for her evocative mixed-media works that explore memory, identity, and the passage of time.
  • C. Margarita Sanz
    Margarita Sanz is a Mexican actress known for her acclaimed performances in film, television, and theater, often portraying complex, emotionally rich characters.
  • D. Dolores Zorreguieta
    Dolores Zorreguieta is an Argentine psychologist and the younger sister of Queen Máxima of the Netherlands.
  • E. María Barranco
    María Barranco is a Spanish actress best known for her work in Pedro Almodóvar’s films and for her acclaimed performances in late-20th-century Spanish cinema.
  • 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: Susana Villarán
Triple: [Mayor of Lima, positionHeldBy, Susana Villarán]
Generated description
Susana Villarán is a Peruvian politician and human rights activist who became the first woman elected as mayor of Lima.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Susana Villarán
Target entity description: Susana Villarán is a Peruvian politician and human rights activist who became the first woman elected as mayor of Lima.
  • A. María Cortés
    María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
  • B. Carmen Calvo
    Carmen Calvo is a Spanish conceptual artist known for her evocative mixed-media works that explore memory, identity, and the passage of time.
  • C. Margarita Sanz
    Margarita Sanz is a Mexican actress known for her acclaimed performances in film, television, and theater, often portraying complex, emotionally rich characters.
  • D. Dolores Zorreguieta
    Dolores Zorreguieta is an Argentine psychologist and the younger sister of Queen Máxima of the Netherlands.
  • E. María Barranco
    María Barranco is a Spanish actress best known for her work in Pedro Almodóvar’s films and for her acclaimed performances in late-20th-century Spanish cinema.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc0182cc8190b8aa9c980f11ba57 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03f08ba3308190bf0c338969717e28 completed May 13, 2026, 3:31 a.m.
NEDg Description generation batch_6a03f1f144988190b2201c0f7c2464de completed May 13, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_6a03f356e48c81908d74414b736303a4 completed May 13, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:35 a.m.