Triple

T13712335
Position Surface form Disambiguated ID Type / Status
Subject Ruth Lilly Poetry Prize E328803 entity
Predicate hasRecipient P108 FINISHED
Object Kay Ryan
Kay Ryan is an American poet known for her concise, witty, and philosophically rich verse, who has received major literary honors for her work.
 E1073558 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: Kay Ryan | Statement: [Ruth Lilly Poetry Prize, hasRecipient, Kay Ryan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kay Ryan
Context triple: [Ruth Lilly Poetry Prize, hasRecipient, Kay Ryan]
  • A. Doug Mahon
    Doug Mahon is a technology entrepreneur best known as a founder of the data storage company Seagate Technology.
  • B. Kay Young
    Kay Young was a British actress known for her stage and film work in the mid-20th century.
  • C. Edward Dorn
    Edward Dorn was an American poet and writer associated with the Black Mountain poets, known for his incisive, often satirical explorations of the American West and its politics.
  • D. Stephen Dunn
    Stephen Dunn was an American poet and Pulitzer Prize winner known for his accessible, reflective verse exploring everyday life and human relationships.
  • E. Paul Doty
    Paul Doty was an American chemist and prominent arms control expert who played a key role in nuclear disarmament policy and science advising during the Cold War.
  • 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: Kay Ryan
Triple: [Ruth Lilly Poetry Prize, hasRecipient, Kay Ryan]
Generated description
Kay Ryan is an American poet known for her concise, witty, and philosophically rich verse, who has received major literary honors for her work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kay Ryan
Target entity description: Kay Ryan is an American poet known for her concise, witty, and philosophically rich verse, who has received major literary honors for her work.
  • A. Doug Mahon
    Doug Mahon is a technology entrepreneur best known as a founder of the data storage company Seagate Technology.
  • B. Kay Young
    Kay Young was a British actress known for her stage and film work in the mid-20th century.
  • C. Edward Dorn
    Edward Dorn was an American poet and writer associated with the Black Mountain poets, known for his incisive, often satirical explorations of the American West and its politics.
  • D. Stephen Dunn
    Stephen Dunn was an American poet and Pulitzer Prize winner known for his accessible, reflective verse exploring everyday life and human relationships.
  • E. Paul Doty
    Paul Doty was an American chemist and prominent arms control expert who played a key role in nuclear disarmament policy and science advising during the Cold War.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4395e8c0819098719c8cd344aa33 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7c8bbc81908c7aa15c6892be34 completed May 6, 2026, 9:02 p.m.
NEDg Description generation batch_69fbb00b50208190be68a22ae90ef113 completed May 6, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_69fbb082c6988190ac679f09449c133d completed May 6, 2026, 9:20 p.m.
Created at: April 9, 2026, 9:54 p.m.