Triple
T5929520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letterkenny |
E131899
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Andrew Herr
Andrew Herr is a Canadian actor best known for playing Jonesy, one of the hockey players, on the comedy series "Letterkenny."
|
E554988
|
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: Andrew Herr | Statement: [Letterkenny, portrayedBy, Andrew Herr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Herr Context triple: [Letterkenny, portrayedBy, Andrew Herr]
-
A.
Chris Applebaum
Chris Applebaum is an American music video director known for creating high-profile videos for major pop and rock artists.
-
B.
Jonathan Hager
Jonathan Hager was an 18th-century German immigrant, landowner, and founder of Hagerstown, Maryland.
-
C.
Mark Heisler
Mark Heisler is an American sports journalist and author best known for his long-time NBA coverage and basketball writing, including work for the Los Angeles Times.
-
D.
W. Blake Herron
W. Blake Herron was an American screenwriter best known for co-writing the hit espionage thriller film "The Bourne Identity."
-
E.
John Hirschbeck
John Hirschbeck is a former Major League Baseball umpire who worked in the league for decades and officiated multiple World Series.
- 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: Andrew Herr Triple: [Letterkenny, portrayedBy, Andrew Herr]
Generated description
Andrew Herr is a Canadian actor best known for playing Jonesy, one of the hockey players, on the comedy series "Letterkenny."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrew Herr Target entity description: Andrew Herr is a Canadian actor best known for playing Jonesy, one of the hockey players, on the comedy series "Letterkenny."
-
A.
Chris Applebaum
Chris Applebaum is an American music video director known for creating high-profile videos for major pop and rock artists.
-
B.
Jonathan Hager
Jonathan Hager was an 18th-century German immigrant, landowner, and founder of Hagerstown, Maryland.
-
C.
Mark Heisler
Mark Heisler is an American sports journalist and author best known for his long-time NBA coverage and basketball writing, including work for the Los Angeles Times.
-
D.
W. Blake Herron
W. Blake Herron was an American screenwriter best known for co-writing the hit espionage thriller film "The Bourne Identity."
-
E.
John Hirschbeck
John Hirschbeck is a former Major League Baseball umpire who worked in the league for decades and officiated multiple World Series.
- 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.