Triple
T21636879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael J. Benton |
E533983
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Benton |
—
|
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: Benton | Statement: [Michael J. Benton, familyName, Benton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benton Context triple: [Michael J. Benton, familyName, Benton]
-
A.
Benton
Benton is a small unincorporated rural community located in Ringgold County, Iowa.
-
B.
Benton
Benton is a character associated with Marvel Comics’ Future Foundation, a team of young geniuses and allies connected to the Fantastic Four.
-
C.
Benton
chosen
Benton is a surname most notably associated with American painter and muralist Thomas Hart Benton, a leading figure of the Regionalist art movement.
-
D.
Benton
Benton is a small town located in Yates County in the Finger Lakes region of New York State.
-
E.
Longbenton
Longbenton is a suburban area in Tyne and Wear, England, situated near Newcastle upon Tyne and known largely as a residential community.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef538ddb088190a3cba6fdc84c0ae8 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 16, 2026, 6:35 p.m.