Triple
T20793331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Poet Laureate |
E511833
|
entity |
| Predicate | hasTitleHolder |
P1911
|
FINISHED |
| Object | Kay Ryan |
—
|
NE NERFINISHED |
How this triple was built (2 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: [United States Poet Laureate, hasTitleHolder, Kay Ryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kay Ryan Context triple: [United States Poet Laureate, hasTitleHolder, Kay Ryan]
-
A.
Kay Ryan
chosen
Kay Ryan is an American poet known for her concise, witty, and philosophically rich verse, who has received major literary honors for her work.
-
B.
Doug Mahon
Doug Mahon is a technology entrepreneur best known as a founder of the data storage company Seagate Technology.
-
C.
Kay Young
Kay Young was a British actress known for her stage and film work in the mid-20th century.
-
D.
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.
-
E.
Stephen Dunn
Stephen Dunn was an American poet and Pulitzer Prize winner known for his accessible, reflective verse exploring everyday life and human relationships.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2aadd7081908c6343821e8c655c |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.