Triple
T10466379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will McKenzie |
E246806
|
entity |
| Predicate | closeFriendOf |
P8712
|
FINISHED |
| Object | Jay Cartwright |
E866342
|
NE FINISHED |
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: Jay Cartwright | Statement: [Will McKenzie, closeFriendOf, Jay Cartwright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Cartwright Context triple: [Will McKenzie, closeFriendOf, Jay Cartwright]
-
A.
Jay Cartwright
chosen
Jay Cartwright is a loud, immature, and habitually lying teenager from the British sitcom "The Inbetweeners," known for his crude humor and exaggerated stories.
-
B.
Rob Kerkovich
Rob Kerkovich is an American actor best known for his role as forensic scientist Sebastian Lund on the television series NCIS: New Orleans.
-
C.
Ian Frazier
Ian Frazier is an American writer and humorist best known for his essays and reportage in The New Yorker and books such as "Great Plains" and "On the Rez."
-
D.
Derek Roy
Derek Roy is a Canadian former professional ice hockey centre who played over a decade in the NHL, most prominently with the Buffalo Sabres.
-
E.
Bill Kerr
Bill Kerr was an Australian actor and comedian known for his work in film, radio, and television from the mid-20th century onward.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092d6d408190b6bda4d7ced4601e |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dc5c26a88190aab4a590c20191a3 |
completed | April 10, 2026, 11:17 a.m. |
Created at: April 6, 2026, 12:19 p.m.