Triple
T23059692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keefe Brasselle |
E574262
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | 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: Keefe | Statement: [Keefe Brasselle, givenName, Keefe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keefe Context triple: [Keefe Brasselle, givenName, Keefe]
-
A.
Keefe
chosen
Keefe is a surname most prominently associated with Sheldon Keefe, a Canadian professional ice hockey coach and former player.
-
B.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
C.
Kiffin
Kiffin is the surname of Lane Kiffin, a prominent American football coach known for leading several major college and NFL teams.
-
D.
Keegan
Keegan is a surname most famously associated with Kevin Keegan, the former English footballer and manager.
-
E.
Kiefer
Kiefer is a masculine given name most famously associated with Canadian actor Kiefer Sutherland.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1899f359081909e89e19db3833a3d |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.