Triple
T19741525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kay County |
E474133
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | David Kay |
—
|
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: David Kay | Statement: [Kay County, namedAfter, David Kay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Kay Context triple: [Kay County, namedAfter, David Kay]
-
A.
David R. Kay
chosen
David R. Kay was an early settler and prominent local figure after whom Kay County, Oklahoma, was named.
-
B.
Richard Clarke
Richard Clarke was an English clergyman and biblical scholar who contributed to the translation of the King James Bible in the early 17th century.
-
C.
John McCabe
John McCabe is the enigmatic, self-styled gambler and entrepreneur at the center of Robert Altman’s revisionist Western film "McCabe & Mrs. Miller."
-
D.
Stephen J. Bartowski
Stephen J. Bartowski is a key character in the TV series "Chuck," known as Chuck's estranged and secretive father who is deeply involved in covert intelligence work and the origins of the Intersect.
-
E.
Richard Mueller
Richard Mueller is a physicist and professor emeritus at the University of California, Berkeley, known for his work in astrophysics, geophysics, and climate science communication.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6516159c8819090022094aa91902b |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.