Triple

T12000697
Position Surface form Disambiguated ID Type / Status
Subject Nino Bixio E285651 entity
Predicate nickname P55 FINISHED
Object Nino
Nino is the commonly used nickname of Nino Bixio, a prominent 19th-century Italian general and patriot involved in the unification of Italy.
E959322 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: [Nino Bixio, nickname, Nino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nino
Context triple: [Nino Bixio, nickname, 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. 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.
  • C. Nanni
    Nanni is an Italian given name commonly used as a familiar or diminutive form of Giovanni.
  • D. Giannino
    Giannino is an Italian given name, commonly used as a familiar or affectionate form of Giovanni.
  • E. Nina
    Nina is a central character in the British cult film "Human Traffic," which explores the lives and clubbing culture of young people in Cardiff.
  • 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: [Nino Bixio, nickname, Nino]
Generated description
Nino is the commonly used nickname of Nino Bixio, a prominent 19th-century Italian general and patriot involved in the unification of Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nino
Target entity description: Nino is the commonly used nickname of Nino Bixio, a prominent 19th-century Italian general and patriot involved in the unification of Italy.
  • 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. 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.
  • C. Nanni
    Nanni is an Italian given name commonly used as a familiar or diminutive form of Giovanni.
  • D. Giannino
    Giannino is an Italian given name, commonly used as a familiar or affectionate form of Giovanni.
  • E. Nina
    Nina is a Danish fashion model best known for her appearances in the Sports Illustrated Swimsuit Issue and various high-profile advertising campaigns.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903c26d7881909b67a31d04882eb5 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48ae4733c81909956cc8d6bae343a completed May 1, 2026, 11:13 a.m.
NEDg Description generation batch_69f48df7790c8190a8e79466f032e86d completed May 1, 2026, 11:26 a.m.
NED2 Entity disambiguation (via description) batch_69f490dfe4e4819092d7494ba9b807db completed May 1, 2026, 11:39 a.m.
Created at: April 8, 2026, 9:46 p.m.