Triple
T18226011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenny Easley |
E436423
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kenny Easley |
—
|
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: Kenny Easley | Statement: [Kenny Easley, name, Kenny Easley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenny Easley Context triple: [Kenny Easley, name, Kenny Easley]
-
A.
Kenny Easley
chosen
Kenny Easley is a former NFL safety and Pro Football Hall of Famer best known for his dominant play with the Seattle Seahawks in the 1980s.
-
B.
Brian Dawkins
Brian Dawkins is a Hall of Fame former NFL safety best known for his long, hard-hitting career with the Philadelphia Eagles.
-
C.
Darrell Green
Darrell Green is a Hall of Fame NFL cornerback renowned for his exceptional speed and longevity during a 20-year career with Washington’s football franchise.
-
D.
Lawrence Taylor
Lawrence Taylor is a legendary former NFL linebacker widely regarded as one of the greatest defensive players in football history.
-
E.
Lawrence Taylor
Lawrence Taylor was a screenwriter best known for his work on mid-20th-century American films, including the biographical sports drama "The Jackie Robinson Story."
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4aeb4cc81908959413c368a2243 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:32 a.m.