Triple

T10734794
Position Surface form Disambiguated ID Type / Status
Subject Maera E253165 entity
Predicate hasNameVariant P457 FINISHED
Object Maira
Maira is a given name used in various cultures, often as a variant of names like Maera, Maria, or Mary.
 E885250 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: Maira | Statement: [Maera, hasNameVariant, Maira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maira
Context triple: [Maera, hasNameVariant, Maira]
  • A. Marisa
    Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
  • B. Marlen
    Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
  • C. Marida
    Marida was the mother of the Abbasid caliph al-Mu'tasim, placing her within the influential familial circle of the Abbasid dynasty.
  • D. Marisus
    Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
  • E. Mia Ausa
    Mia Ausa is a young, kind-hearted magician and the daughter of the Magic Guild's leader in the role-playing game Lunar: The Silver Star.
  • 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: Maira
Triple: [Maera, hasNameVariant, Maira]
Generated description
Maira is a given name used in various cultures, often as a variant of names like Maera, Maria, or Mary.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maira
Target entity description: Maira is a given name used in various cultures, often as a variant of names like Maera, Maria, or Mary.
  • A. Marisa
    Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
  • B. Marlen
    Marlen is a village district of the town of Kehl in the German state of Baden-Württemberg.
  • C. Marida
    Marida was the mother of the Abbasid caliph al-Mu'tasim, placing her within the influential familial circle of the Abbasid dynasty.
  • D. Marisus
    Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
  • E. Mia Ausa
    Mia Ausa is a young, kind-hearted magician and the daughter of the Magic Guild's leader in the role-playing game Lunar: The Silver Star.
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d71021cccc8190ba2d3bbd7d50e2a7 completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69de557c4ea4819090b0c6c2175e05ea completed April 14, 2026, 2:55 p.m.
NEDg Description generation batch_69de5952f6c48190abd3b87372d54f58 completed April 14, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69de5ed49c9c8190a4085407f88d7a05 completed April 14, 2026, 3:35 p.m.
Created at: April 8, 2026, 9:14 p.m.