Triple
T19752159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruleville, Mississippi |
E474405
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Robert Rule |
—
|
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: Robert Rule | Statement: [Ruleville, Mississippi, namedAfter, Robert Rule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Rule Context triple: [Ruleville, Mississippi, namedAfter, Robert Rule]
-
A.
Robert Rule
chosen
Robert Rule was an individual after whom the town of Ruleville, Mississippi, was named, indicating his local significance or influence in the area’s early history.
-
B.
Randolph Roberts
Randolph Roberts is an American actor best known for playing Chuck Cunningham on the television series "Happy Days."
-
C.
Ralph Baynard
Ralph Baynard was a Norman nobleman and baron who established Baynard's Castle in London following the Norman Conquest.
-
D.
George Rooker
George Rooker is known primarily as the husband of German-born voice actress and Bond film dubbing artist Nikki van der Zyl.
-
E.
Arthur Aylesworth
Arthur Aylesworth was an American character actor known for his supporting roles in numerous Hollywood films during the 1930s and 1940s.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6529bcb8c8190bcca61a53be86757 |
completed | April 20, 2026, 4:21 p.m. |
Created at: April 10, 2026, 1:48 p.m.