Triple

T8741459
Position Surface form Disambiguated ID Type / Status
Subject Ali and Nino statue E207510 entity
Predicate depicts P1581 FINISHED
Object Nino
Nino is a fictional Georgian noblewoman and one of the two tragic lovers in Kurban Said’s novel "Ali and Nino," commemorated by the moving sculpture "Ali and Nino" in Batumi, Georgia.
 E754441 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: Nino | Statement: [Ali and Nino statue, depicts, Nino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nino
Context triple: [Ali and Nino statue, depicts, Nino]
  • A. Nino
    Nino is the commonly used name of Italian composer Nino Rota, renowned for his film scores including those for Federico Fellini and The Godfather.
  • B. Nanni
    Nanni is an Italian given name commonly used as a familiar or diminutive form of Giovanni.
  • C. Giannino
    Giannino is an Italian given name, commonly used as a familiar or affectionate form of Giovanni.
  • D. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • E. Nina
    Nina is a feminine given name used in various cultures, often as a short form of names like Antonina or Giannina, and borne by numerous notable figures in the arts and public life.
  • 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: Nino
Triple: [Ali and Nino statue, depicts, Nino]
Generated description
Nino is a fictional Georgian noblewoman and one of the two tragic lovers in Kurban Said’s novel "Ali and Nino," commemorated by the moving sculpture "Ali and Nino" in Batumi, Georgia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nino
Target entity description: Nino is a fictional Georgian noblewoman and one of the two tragic lovers in Kurban Said’s novel "Ali and Nino," commemorated by the moving sculpture "Ali and Nino" in Batumi, Georgia.
  • A. Nino
    Nino is the commonly used name of Italian composer Nino Rota, renowned for his film scores including those for Federico Fellini and The Godfather.
  • B. Nanni
    Nanni is an Italian given name commonly used as a familiar or diminutive form of Giovanni.
  • C. Giannino
    Giannino is an Italian given name, commonly used as a familiar or affectionate form of Giovanni.
  • D. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • E. Nina
    Nina is a feminine given name used in various cultures, often as a short form of names like Antonina or Giannina, and borne by numerous notable figures in the arts and public life.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d6fd5dc8190906b7147f27c5d46 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf42f282e48190ad158063e265e0f0 completed April 3, 2026, 4:32 a.m.
NEDg Description generation batch_69cf4433605c8190991f95d19726cab8 completed April 3, 2026, 4:38 a.m.
NED2 Entity disambiguation (via description) batch_69cf44c20b408190b622d18f78277802 completed April 3, 2026, 4:40 a.m.
Created at: March 30, 2026, 6:38 p.m.