Triple

T8239568
Position Surface form Disambiguated ID Type / Status
Subject Lúcia Moniz E192499 entity
Predicate parent P120 FINISHED
Object Maria do Amparo
Maria do Amparo is the mother of Portuguese actress and singer Lúcia Moniz.
E720966 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: Maria do Amparo | Statement: [Lúcia Moniz, parent, Maria do Amparo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maria do Amparo
Context triple: [Lúcia Moniz, parent, Maria do Amparo]
  • A. María dos Prazeres
    María dos Prazeres is a short story by Gabriel García Márquez that follows an aging prostitute in Barcelona who meticulously prepares for her own death after dreaming of it.
  • B. Maria de Jesus
    Maria de Jesus is a Portuguese public figure best known as the wife of former president Mário Soares and for her work as an actress and humanitarian.
  • C. Maria Teresa Teixeira de Queiroz
    Maria Teresa Teixeira de Queiroz was the wife of Marcelo Caetano, the last prime minister of Portugal’s Estado Novo regime.
  • D. Ana Maria
    Ana Maria is an artist best known for creating the cover artwork for Bob Dylan’s album "World Gone Wrong."
  • E. Maria de Medeiros
    Maria de Medeiros is a Portuguese actress and filmmaker known internationally for her roles in independent and art-house films, including Quentin Tarantino’s "Pulp Fiction."
  • 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: Maria do Amparo
Triple: [Lúcia Moniz, parent, Maria do Amparo]
Generated description
Maria do Amparo is the mother of Portuguese actress and singer Lúcia Moniz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maria do Amparo
Target entity description: Maria do Amparo is the mother of Portuguese actress and singer Lúcia Moniz.
  • A. María dos Prazeres
    María dos Prazeres is a short story by Gabriel García Márquez that follows an aging prostitute in Barcelona who meticulously prepares for her own death after dreaming of it.
  • B. Maria de Jesus
    Maria de Jesus is a Portuguese public figure best known as the wife of former president Mário Soares and for her work as an actress and humanitarian.
  • C. Maria Teresa Teixeira de Queiroz
    Maria Teresa Teixeira de Queiroz was the wife of Marcelo Caetano, the last prime minister of Portugal’s Estado Novo regime.
  • D. Ana Maria
    Ana Maria is an artist best known for creating the cover artwork for Bob Dylan’s album "World Gone Wrong."
  • E. Maria de Medeiros
    Maria de Medeiros is a Portuguese actress and filmmaker known internationally for her roles in independent and art-house films, including Quentin Tarantino’s "Pulp Fiction."
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783cce5c8190bf116704d2923ade completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd350f57d48190ae2f24d136bb3eee completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a47f3c81909491e9b0316c32f0 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ecc8d68819099932b1ecefc0d36 completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:47 p.m.