Triple

T12908790
Position Surface form Disambiguated ID Type / Status
Subject Amelia E308795 entity
Predicate hasSpellingVariant P457 FINISHED
Object Amelya
Amelya is a given name that serves as an alternative spelling of the more common name Amelia.
E1010467 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: Amelya | Statement: [Amelia, hasSpellingVariant, Amelya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amelya
Context triple: [Amelia, hasSpellingVariant, Amelya]
  • A. Emelye
    Emelye is a noblewoman of great beauty and virtue in Geoffrey Chaucer’s "The Knight’s Tale," whose love is contested by the knights Palamon and Arcite.
  • B. Leyla
    "Leyla" is a novel by German-Turkish author Feridun Zaimoglu that explores themes of migration, identity, and womanhood through the life story of its titular protagonist.
  • C. Aya
    Aya is a Mesopotamian goddess primarily known as the consort of the sun god Shamash and associated with dawn and light.
  • D. Melek
    Melek is a given name and variant of Malek, used in various cultures and languages.
  • E. Canan
    Canan is a given name and variant spelling of "Cannon," used as a personal or family name in various cultures.
  • 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: Amelya
Triple: [Amelia, hasSpellingVariant, Amelya]
Generated description
Amelya is a given name that serves as an alternative spelling of the more common name Amelia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amelya
Target entity description: Amelya is a given name that serves as an alternative spelling of the more common name Amelia.
  • A. Emelye
    Emelye is a noblewoman of great beauty and virtue in Geoffrey Chaucer’s "The Knight’s Tale," whose love is contested by the knights Palamon and Arcite.
  • B. Leyla
    "Leyla" is a novel by German-Turkish author Feridun Zaimoglu that explores themes of migration, identity, and womanhood through the life story of its titular protagonist.
  • C. Aya
    Aya is a Mesopotamian goddess primarily known as the consort of the sun god Shamash and associated with dawn and light.
  • D. Melek
    Melek is a given name and variant of Malek, used in various cultures and languages.
  • E. Canan
    Canan is a given name and variant spelling of "Cannon," used as a personal or family name in various cultures.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719e584c81909be1ac1366effca0 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af5c133c81908b52fc18262c819d completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b02e3b9881909387c1f70176a1bd completed May 3, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69f6b11ced30819090f67a0b1e1369aa completed May 3, 2026, 2:21 a.m.
Created at: April 9, 2026, 5:41 p.m.