Triple

T11948052
Position Surface form Disambiguated ID Type / Status
Subject Alana E284352 entity
Predicate hasVariant P455 FINISHED
Object Alena
Alena is a feminine given name used in various Slavic and European countries, often considered a variant of names like Alana or Helena.
 E226393 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: Alena | Statement: [Alana, hasVariant, Alena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Alena
Context triple: [Alana, hasVariant, Alena]
  • A. Nadya
    Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
  • B. Aliza
    Aliza is a feminine given name, often considered a variant of Eliza and used in various cultures with meanings related to joy or nobility.
  • C. Yelena
    Yelena is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Helen or Helena in English.
  • D. Natalia
    Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
  • E. Anela
    Anela is a small town and comune in the historical Logudoro region of northern Sardinia, Italy.
  • 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: Alena
Triple: [Alana, hasVariant, Alena]
Generated description
Alena is a feminine given name used in various Slavic and European countries, often considered a variant of names like Alana or Helena.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Alena
Target entity description: Alena is a feminine given name used in various Slavic and European countries, often considered a variant of names like Alana or Helena.
  • A. Nadya
    Nadya is a feminine given name, often used as a diminutive of Nadezhda in Slavic cultures.
  • B. Aliza
    Aliza is a feminine given name, often considered a variant of Eliza and used in various cultures with meanings related to joy or nobility.
  • C. Yelena chosen
    Yelena is a feminine given name of Slavic origin, commonly used in Russian-speaking countries and equivalent to Helen or Helena in English.
  • D. Natalia
    Natalia was a short-lived Boer republic established in the 1830s in what is now KwaZulu-Natal, South Africa.
  • E. Anela
    Anela is a small town and comune in the historical Logudoro region of northern Sardinia, Italy.
  • F. None of above.

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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90346825c8190ab4482a1fc8eed56 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f471ba7fd88190909596e6e01e8714 completed May 1, 2026, 9:26 a.m.
NEDg Description generation batch_69f47b755f808190acb2fb31473d2405 completed May 1, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69f47d8bbae8819088d48b300291ef74 completed May 1, 2026, 10:16 a.m.
Created at: April 8, 2026, 9:45 p.m.