Triple
T20361138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slackers |
E496782
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jeffrey Silver |
—
|
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: Jeffrey Silver | Statement: [Slackers, producer, Jeffrey Silver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Silver Context triple: [Slackers, producer, Jeffrey Silver]
-
A.
Jeffrey Silver
chosen
Jeffrey Silver is a film producer known for his work on major Hollywood movies, including the science fiction action film "Terminator Salvation."
-
B.
Josh Silver
Josh Silver is an American keyboardist and producer best known for his work with the gothic metal band Type O Negative.
-
C.
Kyle Silverstein
Kyle Silverstein is an American actor best known for his roles in film and television, including appearances in projects like "The Walking Dead."
-
D.
Jeffrey Levine
Jeffrey Levine is a film producer known for his work on the comedy-drama movie "This Is Where I Leave You."
-
E.
Rob Silverstein
Rob Silverstein is a television producer best known for serving as the longtime executive producer of the entertainment news program "Access Hollywood."
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6786de5988190827584358c9db147 |
completed | April 20, 2026, 7:03 p.m. |
Created at: April 16, 2026, 11:25 a.m.