Triple
T19738042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1972–73 Kentucky Colonels |
E474038
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | John Y. Brown Jr. |
—
|
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: John Y. Brown Jr. | Statement: [1972–73 Kentucky Colonels, owner, John Y. Brown Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Y. Brown Jr. Context triple: [1972–73 Kentucky Colonels, owner, John Y. Brown Jr.]
-
A.
John Y. Brown Jr.
chosen
John Y. Brown Jr. was an American businessman and politician, best known as the former governor of Kentucky and for turning KFC into a global fast-food giant.
-
B.
John Y. Brown III
John Y. Brown III is an American politician and attorney from Kentucky who served as the state's Secretary of State in the 1990s.
-
C.
Frank M. Johnson Jr.
Frank M. Johnson Jr. was a prominent U.S. federal judge known for his pivotal civil rights rulings that helped dismantle segregation in the American South.
-
D.
William Snyder
William Snyder was a cinematographer known for his work on classic American films, including the Disney production "So Dear to My Heart."
-
E.
William Snyder
William Snyder is an American photojournalist and editor renowned for his powerful visual storytelling, which earned him the Pulitzer Prize for Feature Photography.
- 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_69e6515f6efc8190a3da113847464399 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.