Triple
T19318712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keefe |
E483163
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | O'Keefe |
—
|
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: O'Keefe | Statement: [Keefe, hasVariant, O'Keefe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O'Keefe Context triple: [Keefe, hasVariant, O'Keefe]
-
A.
O’Keefe
chosen
O’Keefe is an Irish-origin surname borne by various notable individuals in fields such as politics, arts, and sports.
-
B.
McMullen
McMullen is a surname of Irish and Scottish origin borne by various notable individuals, including business executive Rodney McMullen.
-
C.
Klee Wyck
Klee Wyck is a collection of autobiographical stories by Canadian artist and writer Emily Carr, recounting her experiences with Indigenous peoples and the landscapes of the Pacific Northwest.
-
D.
Sheeler
Sheeler is a surname most notably associated with Charles Sheeler, an influential American painter and photographer known for his Precisionist depictions of industrial and urban landscapes.
-
E.
Onslow Stevens
Onslow Stevens was an American character actor active from the 1930s to the 1950s, known for his supporting roles in numerous Hollywood films and early television productions.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d868dd48190b1439a5f4ff58c48 |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.