Triple

T13361610
Position Surface form Disambiguated ID Type / Status
Subject Georgian literature E318832 entity
Predicate notableAuthor P4290 FINISHED
Object Besiki
Besiki was an 18th-century Georgian poet and nobleman renowned for his passionate love lyrics and significant influence on Georgian Romantic literature.
 E1036751 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: Besiki | Statement: [Georgian literature, notableAuthor, Besiki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Besiki
Context triple: [Georgian literature, notableAuthor, Besiki]
  • A. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • B. Buema
    Buema is a locality situated within the Kufra region of southeastern Libya, an area known for its desert landscapes and oasis settlements.
  • C. Bele
    Bele is a surname of likely Turkish or Balkan origin, borne by individuals such as Refet Bele.
  • D. Ngazidja
    Ngazidja, also known as Grande Comore, is the largest island of the Comoros archipelago in the Indian Ocean and home to the nation’s capital.
  • E. Soninké
    Soninké is a Mande language spoken primarily by the Soninké people across parts of Mali, Senegal, Mauritania, and neighboring West African countries.
  • 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: Besiki
Triple: [Georgian literature, notableAuthor, Besiki]
Generated description
Besiki was an 18th-century Georgian poet and nobleman renowned for his passionate love lyrics and significant influence on Georgian Romantic literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Besiki
Target entity description: Besiki was an 18th-century Georgian poet and nobleman renowned for his passionate love lyrics and significant influence on Georgian Romantic literature.
  • A. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • B. Buema
    Buema is a locality situated within the Kufra region of southeastern Libya, an area known for its desert landscapes and oasis settlements.
  • C. Bele
    Bele is a surname of likely Turkish or Balkan origin, borne by individuals such as Refet Bele.
  • D. Ngazidja
    Ngazidja, also known as Grande Comore, is the largest island of the Comoros archipelago in the Indian Ocean and home to the nation’s capital.
  • E. Soninké
    Soninké is a Mande language spoken primarily by the Soninké people across parts of Mali, Senegal, Mauritania, and neighboring West African countries.
  • 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69da628affd081909f1790d333f0eef4 completed April 11, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7267ab580819091577c24dd952c99 completed May 3, 2026, 10:42 a.m.
NEDg Description generation batch_69f7277a73248190aa59a997d719cab8 completed May 3, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_69f7281e150081909a92201ceb30b8d6 completed May 3, 2026, 10:49 a.m.
Created at: April 9, 2026, 9:32 p.m.