Triple
T18669369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Things 2 |
E456429
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object | Marc Bienstock |
—
|
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: Marc Bienstock | Statement: [Wild Things 2, hasProducer, Marc Bienstock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Bienstock Context triple: [Wild Things 2, hasProducer, Marc Bienstock]
-
A.
Marc Bienstock
chosen
Marc Bienstock is a film producer best known for his work on horror and thriller movies, including collaborations with director M. Night Shyamalan.
-
B.
Jay Bienstock
Jay Bienstock is a television producer best known for his work on major reality competition series, including serving as an executive producer on "The Apprentice."
-
C.
Marc Roskin
Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
-
D.
Ben Dorfman
Ben Dorfman is a fictional character in Woody Allen’s 2016 romantic comedy film "Café Society."
-
E.
Marc Zamarin
Marc Zamarin is a sports executive best known for serving as the general manager of the Philadelphia Wings professional lacrosse team.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b0502881909ea05f2746163746 |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 10, 2026, 11:48 a.m.