Triple

T19393244
Position Surface form Disambiguated ID Type / Status
Subject Aviana Olea Le Gallo E485119 entity
Predicate givenName P17 FINISHED
Object Aviana
Aviana is a feminine given name, often considered a modern, melodic variant related to names like Ava and Ariana.
 E1373609 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: Aviana | Statement: [Aviana Olea Le Gallo, givenName, Aviana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aviana
Context triple: [Aviana Olea Le Gallo, givenName, Aviana]
  • A. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • B. Lavia
    Lavia is a small municipality in southwestern Finland known for its rural landscapes and proximity to the town of Sastamala.
  • C. Terêna
    Terêna is an Arawakan language spoken by the Terena Indigenous people of Brazil, primarily in the state of Mato Grosso do Sul.
  • D. Faina
    Faina is a feminine given name, notably borne by the celebrated Soviet actress Faina Ranevskaya.
  • E. Alona
    Alona is a feminine given name, notably borne by Israeli-American actress and singer Alona Tal.
  • 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: Aviana
Triple: [Aviana Olea Le Gallo, givenName, Aviana]
Generated description
Aviana is a feminine given name, often considered a modern, melodic variant related to names like Ava and Ariana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aviana
Target entity description: Aviana is a feminine given name, often considered a modern, melodic variant related to names like Ava and Ariana.
  • A. Laleia
    Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
  • B. Lavia
    Lavia is a small municipality in southwestern Finland known for its rural landscapes and proximity to the town of Sastamala.
  • C. Terêna
    Terêna is an Arawakan language spoken by the Terena Indigenous people of Brazil, primarily in the state of Mato Grosso do Sul.
  • D. Faina
    Faina is a feminine given name, notably borne by the celebrated Soviet actress Faina Ranevskaya.
  • E. Alona
    Alona is a feminine given name, notably borne by Israeli-American actress and singer Alona Tal.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b468dd88190acd82b4ee33bd39b completed April 20, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072b8951648190a7ea05504c3cd9c1 completed May 15, 2026, 2:19 p.m.
NEDg Description generation batch_6a072e2e59388190ac5a6a9479555154 completed May 15, 2026, 2:31 p.m.
NED2 Entity disambiguation (via description) batch_6a072eb872b88190904f9947228066fb completed May 15, 2026, 2:33 p.m.
Created at: April 10, 2026, 1:36 p.m.