Triple
T5929522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letterkenny |
E131899
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Tyler Johnston
Tyler Johnston is a Canadian actor best known for playing Stewart on the comedy series "Letterkenny."
|
E554990
|
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: Tyler Johnston | Statement: [Letterkenny, portrayedBy, Tyler Johnston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyler Johnston Context triple: [Letterkenny, portrayedBy, Tyler Johnston]
-
A.
Kyle Davidson
Kyle Davidson is a Canadian ice hockey executive best known as the general manager responsible for leading the NHL’s Chicago Blackhawks roster rebuild.
-
B.
Ryan Johansen
Ryan Johansen is a Canadian professional ice hockey center who has played in the NHL for teams including the Columbus Blue Jackets and Nashville Predators.
-
C.
Jordan Krause
Jordan Krause is a film producer known for working on the documentary "Love, Antosha," which explores the life and legacy of actor Anton Yelchin.
-
D.
Duncan Kenworthy
Duncan Kenworthy is a British film and television producer best known for hit romantic comedies such as "Four Weddings and a Funeral," "Notting Hill," and "Love Actually."
-
E.
Jim Davidson
Jim Davidson is an American private equity investor best known as a co-founder of the technology-focused investment firm Silver Lake Partners.
- 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: Tyler Johnston Triple: [Letterkenny, portrayedBy, Tyler Johnston]
Generated description
Tyler Johnston is a Canadian actor best known for playing Stewart on the comedy series "Letterkenny."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tyler Johnston Target entity description: Tyler Johnston is a Canadian actor best known for playing Stewart on the comedy series "Letterkenny."
-
A.
Kyle Davidson
Kyle Davidson is a Canadian ice hockey executive best known as the general manager responsible for leading the NHL’s Chicago Blackhawks roster rebuild.
-
B.
Ryan Johansen
Ryan Johansen is a Canadian professional ice hockey center who has played in the NHL for teams including the Columbus Blue Jackets and Nashville Predators.
-
C.
Jordan Krause
Jordan Krause is a film producer known for working on the documentary "Love, Antosha," which explores the life and legacy of actor Anton Yelchin.
-
D.
Duncan Kenworthy
Duncan Kenworthy is a British film and television producer best known for hit romantic comedies such as "Four Weddings and a Funeral," "Notting Hill," and "Love Actually."
-
E.
Jim Davidson
Jim Davidson is an American private equity investor best known as a co-founder of the technology-focused investment firm Silver Lake Partners.
- 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_69c0c059b08c8190aec3a8ee0119abed |
completed | March 23, 2026, 4:23 a.m. |
| NEDg | Description generation | batch_69c0c11933d081909bb5133ce3bcf7cc |
completed | March 23, 2026, 4:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c1c31b108190af16c66f6e8a4c25 |
completed | March 23, 2026, 4:29 a.m. |
Created at: March 22, 2026, 4 p.m.