Triple

T6930044
Position Surface form Disambiguated ID Type / Status
Subject Roman E160408 entity
Predicate hasVariant P455 FINISHED
Object Román
Román is a given name and surname of Latin origin, commonly used in Spanish-speaking countries.
 E632081 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: Román | Statement: [Roman, hasVariant, Román]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Román
Context triple: [Roman, hasVariant, Román]
  • A. 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.
  • B. 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.
  • C. Romana
    Romana is a small municipality in the Logudoro region of Sardinia, Italy, known for its rural landscape and traditional Sardinian character.
  • D. Römer
    The Römer is Frankfurt am Main’s historic city hall complex, renowned for its distinctive stepped gabled façade and long-standing role as a center of municipal government.
  • E. Ruoms
    Ruoms is a small commune in the Ardèche department of southern France, known for its scenic riverside setting and outdoor tourism.
  • 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: Román
Triple: [Roman, hasVariant, Román]
Generated description
Román is a given name and surname of Latin origin, commonly used in Spanish-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Román
Target entity description: Román is a given name and surname of Latin origin, commonly used in Spanish-speaking countries.
  • A. 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.
  • B. Romana
    Romana is a small municipality in the Logudoro region of Sardinia, Italy, known for its rural landscape and traditional Sardinian character.
  • C. 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.
  • D. Römer
    The Römer is Frankfurt am Main’s historic city hall complex, renowned for its distinctive stepped gabled façade and long-standing role as a center of municipal government.
  • E. Ruoms
    Ruoms is a small commune in the Ardèche department of southern France, known for its scenic riverside setting and outdoor tourism.
  • 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_69c7585e45448190accdddcbb4bd69ed completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c75c442adc819092fe283ec28bb254 completed March 28, 2026, 4:42 a.m.
NED2 Entity disambiguation (via description) batch_69c75d450ea88190b10d6d2ff7e04765 completed March 28, 2026, 4:47 a.m.
Created at: March 27, 2026, 2:27 p.m.