Triple
T22259331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rough Night |
E550176
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Paul W. Downs |
—
|
NE NERFINISHED |
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: Paul W. Downs | Statement: [Rough Night, screenwriter, Paul W. Downs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul W. Downs Context triple: [Rough Night, screenwriter, Paul W. Downs]
-
A.
Paul W. Downs
chosen
Paul W. Downs is an American writer, actor, and comedian best known for co-creating and starring in acclaimed television comedies.
-
B.
Glen Downey
Glen Downey is a Canadian author and educator known for his work in graphic novels and educational publishing, particularly in literacy and comics-based learning.
-
C.
Michael J. Bowers
Michael J. Bowers is an American attorney and former Attorney General of Georgia, known for his role as the named petitioner in the U.S. Supreme Court case Bowers v. Hardwick.
-
D.
Michael W. Burns
Michael W. Burns is an actor known for his role in the Western television miniseries "Broken Trail."
-
E.
Robert B. Weide
Robert B. Weide is an American film and television director, producer, and screenwriter best known for his work on the HBO series "Curb Your Enthusiasm" and various documentaries about comedians.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c5b54c8190854690ba599639fa |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.