Triple
T4528103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frye |
E106229
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Fryer |
E137530
|
NE FINISHED |
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: Fryer | Statement: [Frye, hasVariant, Fryer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fryer Context triple: [Frye, hasVariant, Fryer]
-
A.
Fry
chosen
Fry is a common English surname borne by various notable figures in fields such as art, literature, and entertainment.
-
B.
Blodgett
Blodgett is a surname of English origin borne by various notable individuals across fields such as politics, business, and the arts.
-
C.
Fritchie
Fritchie is the surname associated with Barbara Frietchie, the American Civil War heroine immortalized in John Greenleaf Whittier’s poem for defiantly flying the Union flag.
-
D.
Frisch
Frisch is a German-language surname most notably associated with Swiss playwright and novelist Max Frisch.
-
E.
George Foreman Grill
The George Foreman Grill is a popular electric countertop grill known for its slanted design that drains fat from food while cooking, marketed as a healthier and convenient home-cooking appliance.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd577737848190ad509c8bb8e57ec0 |
completed | March 20, 2026, 2:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacd8d7b0819082c8797a2f819cd5 |
completed | March 20, 2026, 8:23 p.m. |
Created at: March 20, 2026, 1:03 p.m.