Triple
T5929517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letterkenny |
E131899
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Nathan Dales
Nathan Dales is a Canadian actor best known for playing Daryl on the comedy series "Letterkenny."
|
E560346
|
NE FINISHED |
How this triple was built (4 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, portrayedBy, Nathan Dales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nathan Dales Context triple: [Letterkenny, portrayedBy, Nathan Dales]
-
A.
Darren Eales
Darren Eales is a British football executive known for serving as president of Major League Soccer club Atlanta United FC, where he helped build the expansion team into a successful franchise.
-
B.
Derek Dowding
Derek Dowding was a Royal Air Force officer and the son of Air Chief Marshal Hugh Dowding, noted for his own distinguished service in military aviation.
-
C.
Derek Twigg
Derek Twigg is a British Labour Party politician and Member of Parliament who has held several junior ministerial roles in UK government.
-
D.
Nick Daley
Nick Daley is a fictional character from the "Night at the Museum" film series, known as the son of protagonist Larry Daley.
-
E.
Darren Morfitt
Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nathan Dales Triple: [Letterkenny, portrayedBy, Nathan Dales]
Generated description
Nathan Dales is a Canadian actor best known for playing Daryl on the comedy series "Letterkenny."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nathan Dales Target entity description: Nathan Dales is a Canadian actor best known for playing Daryl on the comedy series "Letterkenny."
-
A.
Darren Eales
Darren Eales is a British football executive known for serving as president of Major League Soccer club Atlanta United FC, where he helped build the expansion team into a successful franchise.
-
B.
Derek Dowding
Derek Dowding was a Royal Air Force officer and the son of Air Chief Marshal Hugh Dowding, noted for his own distinguished service in military aviation.
-
C.
Derek Twigg
Derek Twigg is a British Labour Party politician and Member of Parliament who has held several junior ministerial roles in UK government.
-
D.
Nick Daley
Nick Daley is a fictional character from the "Night at the Museum" film series, known as the son of protagonist Larry Daley.
-
E.
Darren Morfitt
Darren Morfitt is a British actor known for his roles in television dramas and genre series, including appearances in Doctor Who.
- F. None of above. chosen
Provenance (5 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389ac4b881908d551e7e29f89888 |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c108186c64819088c21e9b5408d5f1 |
completed | March 23, 2026, 9:30 a.m. |
| NEDg | Description generation | batch_69c10920720c8190bc182385d14d45ae |
completed | March 23, 2026, 9:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c109ab219c8190b6155c32ae5db1b9 |
completed | March 23, 2026, 9:36 a.m. |
Created at: March 22, 2026, 4 p.m.