Triple
T20494896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denver S. Dickerson |
E502844
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dickerson |
—
|
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: Dickerson | Statement: [Denver S. Dickerson, familyName, Dickerson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dickerson Context triple: [Denver S. Dickerson, familyName, Dickerson]
-
A.
Dickerson
chosen
Dickerson is a surname of English origin borne by various notable individuals across politics, sports, and the arts.
-
B.
Dickison
Dickison is a surname that functions as a spelling variant of the more common name Dickinson.
-
C.
Chris Dickerson
Chris Dickerson was an American professional bodybuilder best known for winning the 1982 Mr. Olympia title and for being one of the sport’s pioneering African-American and openly gay champions.
-
D.
Singletary
Singletary is a surname most prominently associated with Mike Singletary, the Hall of Fame former NFL linebacker and coach.
-
E.
Jerry Dandrige
Jerry Dandrige is the charismatic yet sinister vampire antagonist in the 2011 horror-comedy film "Fright Night."
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbd2dfc81908204f7bfa8a763b6 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.