Triple

T20160165
Position Surface form Disambiguated ID Type / Status
Subject Enzo E491680 entity
Predicate hasVariant P455 FINISHED
Object Enzo (French form)
Enzo (French form) is a masculine given name commonly used in French-speaking countries, derived from Italian origins and popular in contemporary Europe.
 E1415556 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: Enzo (French form) | Statement: [Enzo, hasVariant, Enzo (French form)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enzo (French form)
Context triple: [Enzo, hasVariant, Enzo (French form)]
  • A. Alain (French)
    Alain is the French given name equivalent to the English name Alan, commonly used for males in French-speaking countries.
  • B. Gianfranco
    Gianfranco is an Italian masculine given name commonly associated with notable figures in fashion, sports, and the arts.
  • C. Félix (French)
    Félix is a French given name, derived from the Latin "Felix" meaning "happy" or "fortunate," and commonly used in French-speaking countries.
  • D. André
    André is a given name of French origin commonly used in various languages as a form of "Andrew."
  • E. Alexandre (French)
    Alexandre (French) is the French form of the given name Alexander, commonly used for males in French-speaking countries.
  • 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: Enzo (French form)
Triple: [Enzo, hasVariant, Enzo (French form)]
Generated description
Enzo (French form) is a masculine given name commonly used in French-speaking countries, derived from Italian origins and popular in contemporary Europe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enzo (French form)
Target entity description: Enzo (French form) is a masculine given name commonly used in French-speaking countries, derived from Italian origins and popular in contemporary Europe.
  • A. Alain (French)
    Alain is the French given name equivalent to the English name Alan, commonly used for males in French-speaking countries.
  • B. Gianfranco
    Gianfranco is an Italian masculine given name commonly associated with notable figures in fashion, sports, and the arts.
  • C. Félix (French)
    Félix is a French given name, derived from the Latin "Felix" meaning "happy" or "fortunate," and commonly used in French-speaking countries.
  • D. André
    André is a given name of French origin commonly used in various languages as a form of "Andrew."
  • E. Alexandre (French)
    Alexandre (French) is the French form of the given name Alexander, commonly used for males in French-speaking countries.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e37c8c8190827839291027d9e2 completed April 20, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083478c328819094ecdf00149a17b6 completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a0838867cb081908580ab9594653018 completed May 16, 2026, 9:27 a.m.
NED2 Entity disambiguation (via description) batch_6a083965207c8190babe799e5d45f913 completed May 16, 2026, 9:31 a.m.
Created at: April 11, 2026, 11:34 p.m.