Triple
T22450846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jared Keeso |
E554983
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object | Wayne in Letterkenny |
—
|
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: Wayne in Letterkenny | Statement: [Jared Keeso, portrayedCharacter, Wayne in Letterkenny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wayne in Letterkenny Context triple: [Jared Keeso, portrayedCharacter, Wayne in Letterkenny]
-
A.
Letterkenny
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.
Letterkenny
Letterkenny is a major urban and commercial center in northwest Ireland, known for its role as a regional hub for education, retail, and services.
-
C.
Duggan
Duggan is a surname of Irish origin borne by various notable individuals across fields such as entertainment, sports, and politics.
-
D.
Wayne
Wayne is a suburban township in Passaic County, New Jersey, known for its residential communities, shopping centers, and proximity to New York City.
-
E.
Wayne
chosen
Wayne is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ba6a88190a0a79e2c20fa8c08 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.