Triple

T21599488
Position Surface form Disambiguated ID Type / Status
Subject Grandmother (Antonida Tarasyevna) E532996 entity
Predicate hasGivenName P17 FINISHED
Object Antonida
Antonida is a feminine given name of Slavic origin, most commonly used in Russian-speaking countries.
 E1493067 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: Antonida | Statement: [Grandmother (Antonida Tarasyevna), hasGivenName, Antonida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Antonida
Context triple: [Grandmother (Antonida Tarasyevna), hasGivenName, Antonida]
  • A. Eraclea
    Eraclea is a small coastal town in northeastern Italy known for its beaches along the Adriatic Sea and its proximity to Venice.
  • B. Hespera
    Hespera is a powerful goddess and primary antagonist in the superhero film "Shazam! Fury of the Gods," portrayed as one of the daughters of the god Atlas.
  • C. Leonida
    Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
  • D. Ammannia
    Ammannia is a genus of aquatic and semi-aquatic flowering plants commonly found in wetlands and shallow waters worldwide.
  • E. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • 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: Antonida
Triple: [Grandmother (Antonida Tarasyevna), hasGivenName, Antonida]
Generated description
Antonida is a feminine given name of Slavic origin, most commonly used in Russian-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Antonida
Target entity description: Antonida is a feminine given name of Slavic origin, most commonly used in Russian-speaking countries.
  • A. Eraclea
    Eraclea is a small coastal town in northeastern Italy known for its beaches along the Adriatic Sea and its proximity to Venice.
  • B. Hespera
    Hespera is a powerful goddess and primary antagonist in the superhero film "Shazam! Fury of the Gods," portrayed as one of the daughters of the god Atlas.
  • C. Leonida
    Leonida is an Italian given name, historically used for both men and women and derived from the ancient Greek name Leonidas.
  • D. Ammannia
    Ammannia is a genus of aquatic and semi-aquatic flowering plants commonly found in wetlands and shallow waters worldwide.
  • E. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • 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_69e0c46364608190a337dc8720dc2a35 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefae4746c819090afe1d93fe9f175 completed April 27, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09fd3352d481908611875a91c66825 completed May 17, 2026, 5:38 p.m.
NEDg Description generation batch_6a09fe7380c881909d17d5ba64f0b19f completed May 17, 2026, 5:44 p.m.
NED2 Entity disambiguation (via description) batch_6a09fef4abe48190b6eac6d14aadd110 completed May 17, 2026, 5:46 p.m.
Created at: April 16, 2026, 6:32 p.m.