Triple
T19526520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Kelley |
E488532
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Barry Kelley |
—
|
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: Barry Kelley | Statement: [Barry Kelley, name, Barry Kelley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barry Kelley Context triple: [Barry Kelley, name, Barry Kelley]
-
A.
Barry Kelley
chosen
Barry Kelley was an American character actor known for his tough, authoritative roles in mid-20th-century film noir and crime dramas.
-
B.
Les Kelley
Les Kelley was an American car dealer and entrepreneur best known for creating the Kelley Blue Book, a widely used guide for automobile values.
-
C.
Marty Barrett
Marty Barrett is a former Major League Baseball second baseman best known for his standout postseason performance with the Boston Red Sox in the mid-1980s.
-
D.
Michael Kelbaugh
Michael Kelbaugh is a video game producer and longtime Nintendo collaborator best known for his leadership at Retro Studios on major titles in the Donkey Kong Country series.
-
E.
Faron Kelley
Faron Kelley is a musician best known for his role in the American country-rock band Pure Prairie League.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6363aeb8c8190be2bdd73e421af96 |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.