Triple
T19139074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhoades |
E468506
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Rhoads |
—
|
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: Rhoads | Statement: [Rhoades, hasVariant, Rhoads]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhoads Context triple: [Rhoades, hasVariant, Rhoads]
-
A.
Rhoads
chosen
Rhoads is a surname of likely English origin borne by various notable individuals, including American archivist James B. Rhoads.
-
B.
Croly
Croly is a surname most notably associated with Herbert Croly, an influential American political theorist and co-founder of The New Republic magazine.
-
C.
Tilden
Tilden is a given name and surname most notably associated with several prominent American figures in politics, sports, and the arts.
-
D.
Evarts
Evarts is a surname most notably associated with William M. Evarts, a prominent 19th-century American lawyer, statesman, and U.S. Secretary of State.
-
E.
Shaughnessy
Shaughnessy is an affluent residential neighbourhood in Vancouver, British Columbia, known for its large heritage homes and tree-lined streets.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ef883c8190829138a560f2a3dc |
completed | April 20, 2026, 8:29 a.m. |
Created at: April 10, 2026, 12:05 p.m.