Triple
T19628830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cookout |
E471210
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Jonathan Silverman |
—
|
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: Jonathan Silverman | Statement: [The Cookout, stars, Jonathan Silverman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Silverman Context triple: [The Cookout, stars, Jonathan Silverman]
-
A.
Jonathan Silverman
chosen
Jonathan Silverman is an American actor best known for his comedic roles in films like "Weekend at Bernie’s" and various television series.
-
B.
Robert Silverman
Robert Silverman is a Canadian character actor known for his frequent collaborations with director David Cronenberg in films such as "Scanners" and "Rabid."
-
C.
Donald Silverman
Donald Silverman is a relative of Susan Silverman, an American rabbi, author, and activist.
-
D.
Alan Silverman
Alan Silverman is the introspective Brooklyn boy protagonist of the novel "Alan & Naomi," who struggles to understand and befriend a traumatized refugee girl during World War II.
-
E.
Marc Silverstein
Marc Silverstein is an American screenwriter and filmmaker known for co-writing popular romantic comedies such as "He's Just Not That Into You," "Never Been Kissed," and "How to Be Single."
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641007e5881908da78e50aa36f340 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.