Triple
T9750397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Kooser |
E236425
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kooser |
E236425
|
NE FINISHED |
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: Kooser | Statement: [Ted Kooser, familyName, Kooser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kooser Context triple: [Ted Kooser, familyName, Kooser]
-
A.
Ted Kooser
chosen
Ted Kooser is an American poet, essayist, and former U.S. Poet Laureate known for his accessible, plainspoken verse about Midwestern life.
-
B.
Kinnell
Kinnell is a small rural village in the Angus council area of eastern Scotland.
-
C.
A. R. Ammons
A. R. Ammons was an influential 20th-century American poet known for his meditative, nature-focused verse and innovative long-form poems.
-
D.
Doug Mahon
Doug Mahon is a technology entrepreneur best known as a founder of the data storage company Seagate Technology.
-
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 (3 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_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f6bb4088190ab8d52ef61d24bee |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcd2e08c8190808b58fdabe0c9d3 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:24 p.m.