Triple

T9710985
Position Surface form Disambiguated ID Type / Status
Subject Alvar E235020 entity
Predicate hasVariant P455 FINISHED
Object Alvarus
Alvarus is a Latinized variant of the given name Alvar, historically used in medieval and ecclesiastical contexts.
 E816838 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: Alvarus | Statement: [Alvar, hasVariant, Alvarus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alvarus
Context triple: [Alvar, hasVariant, Alvarus]
  • A. Dorohusk
    Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
  • B. Alaemon
    Alaemon is a small genus of larks known for their ground-dwelling habits and adaptation to arid and semi-arid environments.
  • C. Gothardus
    Gothardus is a Latinized form of the name Gotthard, most commonly associated with Saint Gotthard of Hildesheim, an 11th-century German bishop and saint.
  • D. Arleng
    Arleng is an alternative name for the Karbi language spoken by the Karbi people of Northeast India.
  • E. Mordaunt
    Mordaunt is a vengeful and fanatical antagonist in Alexandre Dumas’ d'Artagnan romances, known as the ruthless son of Milady de Winter who seeks to destroy the musketeers.
  • 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: Alvarus
Triple: [Alvar, hasVariant, Alvarus]
Generated description
Alvarus is a Latinized variant of the given name Alvar, historically used in medieval and ecclesiastical contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alvarus
Target entity description: Alvarus is a Latinized variant of the given name Alvar, historically used in medieval and ecclesiastical contexts.
  • A. Dorohusk
    Dorohusk is a village in eastern Poland near the Ukrainian border, known as an important road and rail border crossing point between the two countries.
  • B. Alaemon
    Alaemon is a small genus of larks known for their ground-dwelling habits and adaptation to arid and semi-arid environments.
  • C. Gothardus
    Gothardus is a Latinized form of the name Gotthard, most commonly associated with Saint Gotthard of Hildesheim, an 11th-century German bishop and saint.
  • D. Arleng
    Arleng is an alternative name for the Karbi language spoken by the Karbi people of Northeast India.
  • E. Mordaunt
    Mordaunt is a vengeful and fanatical antagonist in Alexandre Dumas’ d'Artagnan romances, known as the ruthless son of Milady de Winter who seeks to destroy the musketeers.
  • 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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0591208190aa57cc9e2aebafb7 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8876748190b0b5efb12031f532 completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a03e88748190b888d6ee2ad2f0f9 completed April 4, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69d1a0c05aa88190a93b0b71bef5c417 completed April 4, 2026, 11:37 p.m.
Created at: March 30, 2026, 8:19 p.m.