Triple
T1150248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derek Nurse |
E23659
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Letterkenny |
E131899
|
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: Letterkenny | Statement: [Derek Nurse, appearsIn, Letterkenny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Letterkenny Context triple: [Derek Nurse, appearsIn, Letterkenny]
-
A.
Letterkenny
chosen
Letterkenny is a Canadian television sitcom set in a small rural Ontario town, known for its fast-paced wordplay, quirky characters, and deadpan humor.
-
B.
Ballygrant
Ballygrant is a small rural village on the Scottish island of Islay, known for its traditional community and scenic Hebridean surroundings.
-
C.
The Wee County
The Wee County is the affectionate nickname for Clackmannanshire, Scotland’s smallest historic county by area.
-
D.
Winter Street
Winter Street is a short, busy commercial street in downtown Boston, Massachusetts, known for its shops and heavy pedestrian traffic near the Downtown Crossing area.
-
E.
Mallaig
Mallaig is a small fishing port and ferry terminal on the west coast of the Scottish Highlands, serving as a key gateway to the Inner Hebrides.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc730b008190bd0901e0a47a4b7a |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac667a61248190b71033daadef58e3 |
completed | March 7, 2026, 5:55 p.m. |
Created at: March 1, 2026, 7:44 p.m.