Triple

T5977471
Position Surface form Disambiguated ID Type / Status
Subject Cícero Dias E133033 entity
Predicate familyName P18 FINISHED
Object Dias
Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
 E558915 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: Dias | Statement: [Cícero Dias, familyName, Dias]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dias
Context triple: [Cícero Dias, familyName, Dias]
  • A. Dina
    Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
  • B. Diez
    Diez is a small historic town in western Germany’s Rhineland-Palatinate, known for its picturesque setting on the Lahn River and its prominent hilltop castle.
  • C. Diada
    Diada is the common short name for La Diada, the Catalan National Day celebrated annually on September 11 in Catalonia, Spain.
  • D. Diu
    Diu is a coastal town and former Portuguese colonial enclave on India’s western coast, known for its historic fort, churches, and beaches.
  • E. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • 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: Dias
Triple: [Cícero Dias, familyName, Dias]
Generated description
Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dias
Target entity description: Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
  • A. Dina
    Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
  • B. Diez
    Diez is a small historic town in western Germany’s Rhineland-Palatinate, known for its picturesque setting on the Lahn River and its prominent hilltop castle.
  • C. Diada
    Diada is the common short name for La Diada, the Catalan National Day celebrated annually on September 11 in Catalonia, Spain.
  • D. Diu
    Diu is a coastal town and former Portuguese colonial enclave on India’s western coast, known for its historic fort, churches, and beaches.
  • E. Toda
    Toda is a subgroup of the Seediq, an Indigenous people of Taiwan known for their distinct language and cultural traditions.
  • 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_69c0086f45e8819098f73dd16d45ec9d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04a3cffb08190a764a404a4ce5812 completed March 22, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e4184a708190a9e4fe8453463a4b completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0f9030f088190a6c3df60551cb65e completed March 23, 2026, 8:25 a.m.
NED2 Entity disambiguation (via description) batch_69c0f9ba4ca88190b783545fbf34b69b completed March 23, 2026, 8:28 a.m.
Created at: March 22, 2026, 4:04 p.m.