Triple
T16213178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Burr: I’m Sorry You Feel That Way |
E393516
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Jay Karas |
E1209017
|
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 Karas | Statement: [Bill Burr: I’m Sorry You Feel That Way, director, Jay Karas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Karas Context triple: [Bill Burr: I’m Sorry You Feel That Way, director, Jay Karas]
-
A.
Jay Karas
chosen
Jay Karas is an American film and television director known for his work on stand-up comedy specials and various TV series.
-
B.
Glenn Gilger
Glenn Gilger is an American child voice actor best known for providing the voice of one of the Peanuts characters in the animated film "A Boy Named Charlie Brown."
-
C.
William Katt
William Katt is an American actor best known for starring in the 1980s television series "The Greatest American Hero" and appearing in films such as "Carrie."
-
D.
Allan Havey
Allan Havey is an American stand-up comedian and actor known for his sharp observational humor and numerous television and film roles.
-
E.
Alan Cline
Alan Cline is a computer scientist and academic known for his long-standing faculty role in the Department of Computer Science at the University of Texas at Austin.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f2c1288190bfaed49c364bfa22 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00354a20d081908288fb8c0e8b83b6 |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:03 a.m.