Triple

T15195638
Position Surface form Disambiguated ID Type / Status
Subject Shields E363131 entity
Predicate hasPart P35 FINISHED
Object Adelma
Adelma is a character from Italo Calvino’s novel "Invisible Cities," depicted as one of the many imagined cities described by the traveler Marco Polo.
E1145805 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: Adelma | Statement: [Shields, hasPart, Adelma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adelma
Context triple: [Shields, hasPart, Adelma]
  • A. Balbina Gutierrez
    Balbina Gutierrez is known primarily as the wife of American actor William Russell.
  • B. María Pimentel
    María Pimentel was a Spanish noblewoman best known as the mother of Gaspar de Guzmán, the powerful Count-Duke of Olivares and chief minister to King Philip IV of Spain.
  • C. Margarita Robles
    Margarita Robles is a Spanish judge and politician who has served as Spain’s Minister of Defence.
  • D. Luisa Santiaga Márquez
    Luisa Santiaga Márquez was the mother of Colombian Nobel laureate Gabriel García Márquez and a key matriarchal figure who inspired several characters in his literary works.
  • E. Beatriz Pimentel
    Beatriz Pimentel was a Spanish noblewoman best known as the mother of Fernando Álvarez de Toledo, the powerful 3rd Duke of Alba and prominent military commander of the 16th century.
  • 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: Adelma
Triple: [Shields, hasPart, Adelma]
Generated description
Adelma is a character from Italo Calvino’s novel "Invisible Cities," depicted as one of the many imagined cities described by the traveler Marco Polo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adelma
Target entity description: Adelma is a character from Italo Calvino’s novel "Invisible Cities," depicted as one of the many imagined cities described by the traveler Marco Polo.
  • A. Balbina Gutierrez
    Balbina Gutierrez is known primarily as the wife of American actor William Russell.
  • B. María Pimentel
    María Pimentel was a Spanish noblewoman best known as the mother of Gaspar de Guzmán, the powerful Count-Duke of Olivares and chief minister to King Philip IV of Spain.
  • C. Margarita Robles
    Margarita Robles is a Spanish judge and politician who has served as Spain’s Minister of Defence.
  • D. Luisa Santiaga Márquez
    Luisa Santiaga Márquez was the mother of Colombian Nobel laureate Gabriel García Márquez and a key matriarchal figure who inspired several characters in his literary works.
  • E. Beatriz Pimentel
    Beatriz Pimentel was a Spanish noblewoman best known as the mother of Fernando Álvarez de Toledo, the powerful 3rd Duke of Alba and prominent military commander of the 16th century.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067fcc788190abdc083d4eadeb36 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2bff388190881396685edd1787 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf39eaac8190bddad85be5e6f274 completed May 9, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69fee00f3b248190b338f1bb5160a9b2 completed May 9, 2026, 7:19 a.m.
Created at: April 10, 2026, 3:10 a.m.