Triple

T7673478
Position Surface form Disambiguated ID Type / Status
Subject Nicolau dos Reis Lobato E173801 entity
Predicate familyName P18 FINISHED
Object Lobato
Lobato is a Portuguese-language surname borne by various notable figures, including politicians, writers, and public personalities in Lusophone countries.
E681791 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: Lobato | Statement: [Nicolau dos Reis Lobato, familyName, Lobato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lobato
Context triple: [Nicolau dos Reis Lobato, familyName, Lobato]
  • A. Cansino
    Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
  • B. Gamboa
    Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
  • C. Carira
    Carira is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its agricultural activities and small-town character.
  • D. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • E. Capelo
    Capelo is a civil parish on Faial Island in the Azores, Portugal, known for its volcanic landscapes and coastal scenery.
  • 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: Lobato
Triple: [Nicolau dos Reis Lobato, familyName, Lobato]
Generated description
Lobato is a Portuguese-language surname borne by various notable figures, including politicians, writers, and public personalities in Lusophone countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lobato
Target entity description: Lobato is a Portuguese-language surname borne by various notable figures, including politicians, writers, and public personalities in Lusophone countries.
  • A. Cansino
    Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
  • B. Gamboa
    Gamboa is a small town in Panama best known for its location along the Panama Canal and its proximity to the surrounding rainforest and canal infrastructure.
  • C. Carira
    Carira is a municipality in the Brazilian state of Sergipe, located in the semi-arid interior region known for its agricultural activities and small-town character.
  • D. Balbuena
    Balbuena is a metro station on Mexico City’s Line 1 serving the Balbuena neighborhood in the eastern part of the city.
  • E. Capelo
    Capelo is a civil parish on Faial Island in the Azores, Portugal, known for its volcanic landscapes and coastal scenery.
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e06e948190b1ef2e754604ac5a completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a22f74f481909498391bfaf23428 completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a34c93a081908ec3509c3abb3866 completed March 29, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3b4e0a88190ad525c83bd03e09f completed March 29, 2026, 3:59 a.m.
Created at: March 27, 2026, 4 p.m.