Triple

T7623243
Position Surface form Disambiguated ID Type / Status
Subject Paulina E172551 entity
Predicate hasVariant P455 FINISHED
Object Paolina
Paolina is a feminine given name, commonly used in Italian and other European languages, that is a variant of names like Paulina or Paula.
 E675819 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: Paolina | Statement: [Paulina, hasVariant, Paolina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Paolina
Context triple: [Paulina, hasVariant, Paolina]
  • A. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • B. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • C. Constanza
    Constanza is a mountainous town in the Dominican Republic known for its cool climate, fertile valleys, and agricultural production.
  • D. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • E. Sant Anna
    Sant Anna is a variant spelling of the Italian name Sant’Anna, commonly referring to places, institutions, or entities named after Saint Anne.
  • 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: Paolina
Triple: [Paulina, hasVariant, Paolina]
Generated description
Paolina is a feminine given name, commonly used in Italian and other European languages, that is a variant of names like Paulina or Paula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Paolina
Target entity description: Paolina is a feminine given name, commonly used in Italian and other European languages, that is a variant of names like Paulina or Paula.
  • A. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • B. Paola
    Paola is a town in southeastern Malta known for its historic sites, including the prehistoric Ħal Saflieni Hypogeum and other cultural landmarks.
  • C. Constanza
    Constanza is a mountainous town in the Dominican Republic known for its cool climate, fertile valleys, and agricultural production.
  • D. Carmelina
    Carmelina is a lesser-known Broadway musical with music by Burton Lane and lyrics by Alan Jay Lerner, loosely based on the film "Buona Sera, Mrs. Campbell."
  • E. Sant Anna
    Sant Anna is a variant spelling of the Italian name Sant’Anna, commonly referring to places, institutions, or entities named after Saint Anne.
  • 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_69c699506b308190826894dab1d9ea86 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa65309c8190b95b894c051b003d completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8687b8c7481909e8d092b558fea84 completed March 28, 2026, 11:47 p.m.
NEDg Description generation batch_69c868dfc24c81908355f36323441bfd completed March 28, 2026, 11:48 p.m.
NED2 Entity disambiguation (via description) batch_69c8696a0d588190ab1e6d4c5c4bbb44 completed March 28, 2026, 11:51 p.m.
Created at: March 27, 2026, 3:56 p.m.