Triple

T9710987
Position Surface form Disambiguated ID Type / Status
Subject Alvar E235020 entity
Predicate hasCognate P2525 FINISHED
Object Avery
Avery is a given name and surname of English origin that is used for all genders and has become especially popular as a modern unisex first name.
 E326811 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: Avery | Statement: [Alvar, hasCognate, Avery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avery
Context triple: [Alvar, hasCognate, Avery]
  • A. Avery
    Avery is a publishing imprint known for releasing popular nonfiction books on topics such as health, psychology, and personal growth.
  • B. Avery
    Avery is the middle name of famed Canadian World War I flying ace Billy Bishop.
  • C. Arons
    Arons is the surname of Arnold B. Arons, a prominent American physicist and influential physics education researcher.
  • D. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • E. Macy
    Macy is a surname most prominently associated with R. H. Macy, the founder of the American department store chain Macy’s.
  • 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: Avery
Triple: [Alvar, hasCognate, Avery]
Generated description
Avery is a given name and surname of English origin that is used for all genders and has become especially popular as a modern unisex first name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avery
Target entity description: Avery is a given name and surname of English origin that is used for all genders and has become especially popular as a modern unisex first name.
  • A. Avery
    Avery is the middle name of famed Canadian World War I flying ace Billy Bishop.
  • B. Avery chosen
    Avery is a publishing imprint known for releasing popular nonfiction books on topics such as health, psychology, and personal growth.
  • C. Arons
    Arons is the surname of Arnold B. Arons, a prominent American physicist and influential physics education researcher.
  • D. Fay
    Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
  • E. Macy
    Macy is a surname most prominently associated with R. H. Macy, the founder of the American department store chain Macy’s.
  • F. None of above.

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_69ca84cd8fa0819090a5e243ceb37003 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e0591208190aa57cc9e2aebafb7 completed April 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f8876748190b0b5efb12031f532 completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a03e88748190b888d6ee2ad2f0f9 completed April 4, 2026, 11:35 p.m.
NED2 Entity disambiguation (via description) batch_69d1a0c05aa88190a93b0b71bef5c417 completed April 4, 2026, 11:37 p.m.
Created at: March 30, 2026, 8:19 p.m.