Triple

T11947096
Position Surface form Disambiguated ID Type / Status
Subject Alanna E284326 entity
Predicate hasVariant P455 FINISHED
Object Alena E226393 NE FINISHED

How this triple was built (2 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: [Alanna, hasVariant, Alena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alena
Context triple: [Alanna, 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 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d903456ec0819082b8b10755a6b732 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458cbb08881909a71f0592c9231ae completed May 1, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:45 p.m.