Triple
T12268880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick Radden Keefe |
E292420
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Keefe |
E483163
|
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: Keefe | Statement: [Patrick Radden Keefe, familyName, Keefe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keefe Context triple: [Patrick Radden Keefe, familyName, 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.
Keefe Brasselle
Keefe Brasselle was an American actor and television producer best known for his film roles in the 1950s and his later controversial involvement in TV production.
-
D.
Keegan
Keegan is a surname most famously associated with Kevin Keegan, the former English footballer and manager.
-
E.
Farrell
Farrell is a surname of Irish origin borne by numerous notable individuals across fields such as entertainment, sports, and politics.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cdea6e881908e13f8259bad6ddc |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6799088190a5644267733ca2e5 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.