Triple
T20173619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everson Walls |
E492032
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Everson Walls |
—
|
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: Everson Walls | Statement: [Everson Walls, name, Everson Walls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Everson Walls Context triple: [Everson Walls, name, Everson Walls]
-
A.
Everson Walls
chosen
Everson Walls is a former NFL cornerback best known for leading the league in interceptions multiple times and winning a Super Bowl with the Dallas Cowboys and New York Giants.
-
B.
Joe Dilworth
Joe Dilworth is an English drummer and photographer best known for his early work with the avant-pop band Stereolab and his influential music photography.
-
C.
Ken Waller
Ken Waller is an American bodybuilder best known for his appearances in the 1970s bodybuilding scene and his prominent role in the documentary film "Pumping Iron."
-
D.
Dade Faison
Dade Faison is one of the children of actor Donald Faison and his former partner Lisa Askey.
-
E.
Andrew Wells
Andrew Wells is a music producer known for his work on the album "Hurts 2B Human."
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6684a33688190b22cfc16907e76bc |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:36 p.m.