Triple

T2615251
Position Surface form Disambiguated ID Type / Status
Subject Christian E58871 entity
Predicate hasVariantForm P457 FINISHED
Object Cristian
Cristian is a masculine given name commonly used in various European and Latin American countries, often associated with Christian religious roots.
 E282593 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: Cristian | Statement: [Christian, hasVariantForm, Cristian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cristian
Context triple: [Christian, hasVariantForm, Cristian]
  • A. Kristian
    Kristian is a given name notably borne by Lauri Kristian Relander, the second President of Finland.
  • B. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • C. Michael Luciano
    Michael Luciano is a film editor best known for his long collaboration with director Robert Aldrich, including work on the noir classic "Kiss Me Deadly."
  • D. 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.
  • E. Mateo
    Mateo is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries and derived from the Hebrew name Matthew, meaning "gift of God."
  • 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: Cristian
Triple: [Christian, hasVariantForm, Cristian]
Generated description
Cristian is a masculine given name commonly used in various European and Latin American countries, often associated with Christian religious roots.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cristian
Target entity description: Cristian is a masculine given name commonly used in various European and Latin American countries, often associated with Christian religious roots.
  • A. Kristian
    Kristian is a given name notably borne by Lauri Kristian Relander, the second President of Finland.
  • B. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • C. Michael Luciano
    Michael Luciano is a film editor best known for his long collaboration with director Robert Aldrich, including work on the noir classic "Kiss Me Deadly."
  • D. 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.
  • E. Mateo
    Mateo is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries and derived from the Hebrew name Matthew, meaning "gift of God."
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87fb87c819093b02c67c76d51fd completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83eb8b088190b1ea47c6d42033c5 completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af84a15b5c8190bb68b6ff313adb6c completed March 10, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69af85aa5f548190a4ce1a4ff38ca5e3 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:50 p.m.