Triple

T7496132
Position Surface form Disambiguated ID Type / Status
Subject Giovanni E177132 entity
Predicate hasDiminutive P456 FINISHED
Object Vannino
Vannino is an Italian diminutive given name derived from Giovanni, commonly used as an affectionate or familiar form.
 E668560 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: Vannino | Statement: [Giovanni, hasDiminutive, Vannino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vannino
Context triple: [Giovanni, hasDiminutive, Vannino]
  • A. Balbo
    Balbo is an Italian surname most famously associated with Italo Balbo, a prominent Fascist leader and pioneering aviator in early 20th-century Italy.
  • B. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • C. Marino
    Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
  • D. Marino
    Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
  • E. Capurso
    Capurso is a small town and comune in the Apulia region of southern Italy, situated near the city of Bari.
  • 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: Vannino
Triple: [Giovanni, hasDiminutive, Vannino]
Generated description
Vannino is an Italian diminutive given name derived from Giovanni, commonly used as an affectionate or familiar form.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vannino
Target entity description: Vannino is an Italian diminutive given name derived from Giovanni, commonly used as an affectionate or familiar form.
  • A. Balbo
    Balbo is an Italian surname most famously associated with Italo Balbo, a prominent Fascist leader and pioneering aviator in early 20th-century Italy.
  • B. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • C. Marino
    Marino is a surname most famously associated with Dan Marino, the Hall of Fame former NFL quarterback for the Miami Dolphins.
  • D. Marino
    Marino is a historic town in Italy’s Alban Hills near Rome, known for its wine production and annual grape festival.
  • E. Capurso
    Capurso is a small town and comune in the Apulia region of southern Italy, situated near the city of Bari.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f57c86948190aa8ee765bd497850 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c8686cc8190bb1f7b09cdbebcf7 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83e31d54c8190aed9279181f1db2b completed March 28, 2026, 8:46 p.m.
NED2 Entity disambiguation (via description) batch_69c83ef9ce408190907a62c9d0a6dc16 completed March 28, 2026, 8:50 p.m.
Created at: March 27, 2026, 3:43 p.m.