Triple

T286668
Position Surface form Disambiguated ID Type / Status
Subject Ellie Awards E5899 entity
Predicate shortName P43 FINISHED
Object Ellies
The Ellies are annual awards recognizing excellence in magazine journalism and publishing, presented by the American Society of Magazine Editors.
 E42796 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: Ellies | Statement: [Ellie Awards, shortName, Ellies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ellies
Context triple: [Ellie Awards, shortName, Ellies]
  • A. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • B. Billie
    Billie is the given name of Billie Joe Armstrong, the American musician best known as the lead vocalist and guitarist of the punk rock band Green Day.
  • C. Darling and Pearson
    Darling and Pearson was a prominent early 20th-century Canadian architectural firm known for designing major institutional and public buildings, particularly in Toronto.
  • D. Gillian
    Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • E. Roberta
    Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
  • 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: Ellies
Triple: [Ellie Awards, shortName, Ellies]
Generated description
The Ellies are annual awards recognizing excellence in magazine journalism and publishing, presented by the American Society of Magazine Editors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ellies
Target entity description: The Ellies are annual awards recognizing excellence in magazine journalism and publishing, presented by the American Society of Magazine Editors.
  • A. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • B. Billie
    Billie is the given name of Billie Joe Armstrong, the American musician best known as the lead vocalist and guitarist of the punk rock band Green Day.
  • C. Darling and Pearson
    Darling and Pearson was a prominent early 20th-century Canadian architectural firm known for designing major institutional and public buildings, particularly in Toronto.
  • D. Gillian
    Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • E. Roberta
    Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e2ddaa88190b08c40b5823f30a0 completed Feb. 28, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3d23d72308190b35d2e6d745d6ee6 completed March 1, 2026, 5:44 a.m.
NEDg Description generation batch_69a3d2c542548190a5e8b39df0dfb874 completed March 1, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69a3d3b33c508190a45a3d9a35095674 completed March 1, 2026, 5:50 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.