Triple

T4107843
Position Surface form Disambiguated ID Type / Status
Subject Marcello E88497 entity
Predicate hasDiminutive P456 FINISHED
Object Marcellino
Marcellino is an Italian given name, typically used as a diminutive or affectionate form of Marcello.
E414504 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: Marcellino | Statement: [Marcello, hasDiminutive, Marcellino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcellino
Context triple: [Marcello, hasDiminutive, Marcellino]
  • A. Antonino
    Antonino is the Italian given name of actor Giovanni Ribisi, whose full name is Antonino Giovanni Ribisi.
  • B. Aloysius
    Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
  • C. Cipriano
    Cipriano is a masculine given name of Spanish origin, historically borne by figures such as the Protestant reformer and Bible translator Cipriano de Valera.
  • D. Ignazio
    Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
  • E. Sebastiano
    Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
  • 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: Marcellino
Triple: [Marcello, hasDiminutive, Marcellino]
Generated description
Marcellino is an Italian given name, typically used as a diminutive or affectionate form of Marcello.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Marcellino
Target entity description: Marcellino is an Italian given name, typically used as a diminutive or affectionate form of Marcello.
  • A. Antonino
    Antonino is the Italian given name of actor Giovanni Ribisi, whose full name is Antonino Giovanni Ribisi.
  • B. Aloysius
    Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
  • C. Cipriano
    Cipriano is a masculine given name of Spanish origin, historically borne by figures such as the Protestant reformer and Bible translator Cipriano de Valera.
  • D. Ignazio
    Ignazio is an Italian given name, cognate to Ignacy and typically associated with the Latin-rooted names Ignatius and Ignacio.
  • E. Sebastiano
    Sebastiano is an Italian given name, commonly used as the Italian form of Sebastian.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af019e23c481909578eba1c9270282 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576a695b08190890aa4f64289d227 completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b57752b9a881909d4440de630121b9 completed March 14, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_69b577d6d8ac8190bbd2025cbc326acc completed March 14, 2026, 2:59 p.m.
Created at: March 9, 2026, 3:40 p.m.