Triple

T6930045
Position Surface form Disambiguated ID Type / Status
Subject Roman E160408 entity
Predicate hasVariant P455 FINISHED
Object Romão
Romão is a Portuguese given name and surname derived from the Latin name Romanus, commonly associated with Roman heritage.
E632793 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: Romão | Statement: [Roman, hasVariant, Romão]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romão
Context triple: [Roman, hasVariant, Romão]
  • A. Román
    Román is a given name and surname of Latin origin, commonly used in Spanish-speaking countries.
  • B. Rumuola
    Rumuola is a prominent urban neighborhood and transport hub in Port Harcourt, Rivers State, Nigeria.
  • C. Ruoms
    Ruoms is a small commune in the Ardèche department of southern France, known for its scenic riverside setting and outdoor tourism.
  • D. Romano
    Romano Mussolini was an Italian jazz pianist and painter, known both for his musical career and for being the son of dictator Benito Mussolini.
  • E. Romana
    Romana is a highly intelligent and compassionate Time Lady from the Doctor Who universe who serves as one of the Doctor’s most capable and scholarly companions.
  • 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: Romão
Triple: [Roman, hasVariant, Romão]
Generated description
Romão is a Portuguese given name and surname derived from the Latin name Romanus, commonly associated with Roman heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Romão
Target entity description: Romão is a Portuguese given name and surname derived from the Latin name Romanus, commonly associated with Roman heritage.
  • A. Román
    Román is a given name and surname of Latin origin, commonly used in Spanish-speaking countries.
  • B. Rumuola
    Rumuola is a prominent urban neighborhood and transport hub in Port Harcourt, Rivers State, Nigeria.
  • C. Ruoms
    Ruoms is a small commune in the Ardèche department of southern France, known for its scenic riverside setting and outdoor tourism.
  • D. Romano
    Romano Mussolini was an Italian jazz pianist and painter, known both for his musical career and for being the son of dictator Benito Mussolini.
  • E. Romana
    Romana is a highly intelligent and compassionate Time Lady from the Doctor Who universe who serves as one of the Doctor’s most capable and scholarly companions.
  • 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_69c6884e15208190b9e91487eaafcf85 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da1f5fcc8190b43f53f90fc1821c completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76182c848819081b973683bdd235f completed March 28, 2026, 5:05 a.m.
NEDg Description generation batch_69c76354b73081908e4f2482bdefb75b completed March 28, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69c763d604148190a3004ab99c79834f completed March 28, 2026, 5:15 a.m.
Created at: March 27, 2026, 2:27 p.m.