Triple

T1355582
Position Surface form Disambiguated ID Type / Status
Subject Nicholas E28979 entity
Predicate hasVariantForm P457 FINISHED
Object Nicola
Nicola is a given name used in various European languages, often as a variant of Nicholas.
 E156668 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: Nicola | Statement: [Nicholas, hasVariantForm, Nicola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nicola
Context triple: [Nicholas, hasVariantForm, Nicola]
  • A. Nicola Romeo
    Nicola Romeo was an Italian engineer and entrepreneur best known for taking over and transforming the car manufacturer that became Alfa Romeo into a prominent automotive brand.
  • B. Nicol
    Nicol is a Scottish surname most notably associated with former professional footballer and manager Steve Nicol.
  • C. Clement
    Clement is a given name of Latin origin meaning "merciful" or "gentle," historically borne by several popes and saints.
  • D. Giorgio
    Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
  • E. Vincenzo
    Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
  • 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: Nicola
Triple: [Nicholas, hasVariantForm, Nicola]
Generated description
Nicola is a given name used in various European languages, often as a variant of Nicholas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nicola
Target entity description: Nicola is a given name used in various European languages, often as a variant of Nicholas.
  • A. Nicola Romeo
    Nicola Romeo was an Italian engineer and entrepreneur best known for taking over and transforming the car manufacturer that became Alfa Romeo into a prominent automotive brand.
  • B. Nicol
    Nicol is a Scottish surname most notably associated with former professional footballer and manager Steve Nicol.
  • C. Clement
    Clement is a given name of Latin origin meaning "merciful" or "gentle," historically borne by several popes and saints.
  • D. Giorgio
    Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
  • E. Vincenzo
    Vincenzo is the Italian given name equivalent to Vincent, commonly used in Italy and among Italian-speaking communities.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c28c8dd0819082f94c9e7c837c5f completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce6e264481909f7cb907486d3e08 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69accf141c3481909ae5ea849aee7604 completed March 8, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69accfb8acfc8190bba379d8bb114c29 completed March 8, 2026, 1:24 a.m.
Created at: March 1, 2026, 7:56 p.m.