Triple
T20910639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Hutt Dewey |
E514931
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Dewey |
—
|
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: Dewey | Statement: [Frances Hutt Dewey, familyName, Dewey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dewey Context triple: [Frances Hutt Dewey, familyName, Dewey]
-
A.
Dewey
Dewey is the main town and administrative center of the island-municipality of Culebra, Puerto Rico.
-
B.
Dewey
chosen
Dewey is a surname most famously associated with George Dewey, the U.S. naval officer celebrated for his victory at the Battle of Manila Bay during the Spanish–American War.
-
C.
Dewey
Dewey is one of the small service robots featured in the 1972 science fiction film "Silent Running," known for its endearing, almost childlike behavior and emotional bond with the protagonist.
-
D.
Dewey
Dewey is a small unincorporated community located on Fidalgo Island in Washington State, known for its coastal setting in the Puget Sound region.
-
E.
Dewey
Dewey is one of the sled dogs featured in the survival adventure film "Eight Below."
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec5e3f988190932956119197e3b1 |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.