Triple
T22676030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letterkenny |
E560346
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Nathan Dales |
—
|
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: Nathan Dales | Statement: [Letterkenny, castMember, Nathan Dales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Dales Context triple: [Letterkenny, castMember, Nathan Dales]
-
A.
Nathan Dales
chosen
Nathan Dales is a Canadian actor best known for playing Daryl on the comedy series "Letterkenny."
-
B.
Nathan Dawe
Nathan Dawe is a British DJ and producer known for his dance and house tracks and collaborations with prominent pop vocalists.
-
C.
Nathan Jones
"Nathan Jones" is a 1971 soul single by The Supremes, featuring Jean Terrell on lead vocals and known for its distinctive, driving Motown sound.
-
D.
Nathan Filer
Nathan Filer is a British writer and former mental health nurse best known for his Costa Book of the Year-winning debut novel "The Shock of the Fall," which explores schizophrenia and grief.
-
E.
Nathan Chapman
Nathan Chapman is an American record producer best known for his extensive work shaping Taylor Swift’s early country-pop sound.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785ca1e08190af1a6cdb51ca4fce |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:11 p.m.