Triple

T22059593
Position Surface form Disambiguated ID Type / Status
Subject Evvy E545116 entity
Predicate hasSpellingVariant P457 FINISHED
Object Evi
Evi is a given name and variant spelling of Evvy, used as a personal name in various cultures.
 E1517069 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: Evi | Statement: [Evvy, hasSpellingVariant, Evi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Evi
Context triple: [Evvy, hasSpellingVariant, Evi]
  • A. Evira
    Evira was Finland’s former national food safety authority responsible for overseeing food quality, animal health, and plant protection before being merged into the Finnish Food Authority.
  • B. Ervebo
    Ervebo is a recombinant, live-attenuated vaccine developed to protect humans against infection by the Zaire ebolavirus.
  • C. Evciler
    Evciler is a small town and district in western Turkey known for its rural character and location within Afyonkarahisar Province.
  • D. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • E. Erv
    Erv is a diminutive form of the given name Ervin, typically used as a casual or affectionate nickname.
  • 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: Evi
Triple: [Evvy, hasSpellingVariant, Evi]
Generated description
Evi is a given name and variant spelling of Evvy, used as a personal name in various cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Evi
Target entity description: Evi is a given name and variant spelling of Evvy, used as a personal name in various cultures.
  • A. Evira
    Evira was Finland’s former national food safety authority responsible for overseeing food quality, animal health, and plant protection before being merged into the Finnish Food Authority.
  • B. Ervebo
    Ervebo is a recombinant, live-attenuated vaccine developed to protect humans against infection by the Zaire ebolavirus.
  • C. Evciler
    Evciler is a small town and district in western Turkey known for its rural character and location within Afyonkarahisar Province.
  • D. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • E. Erv
    Erv is a diminutive form of the given name Ervin, typically used as a casual or affectionate nickname.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285ac9608190ab4f89d4ee7350d0 completed April 28, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80a92ee081909d5119a99d83e064 completed May 18, 2026, 2:59 a.m.
NEDg Description generation batch_6a0a8187516481909d8075dfc025614e completed May 18, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0a826075988190a7148ded16f779c0 completed May 18, 2026, 3:07 a.m.
Created at: April 16, 2026, 8:27 p.m.