Triple
T12424946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point Blank |
E296872
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Jud Kinberg |
E1009437
|
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: Jud Kinberg | Statement: [Point Blank, producer, Jud Kinberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jud Kinberg Context triple: [Point Blank, producer, Jud Kinberg]
-
A.
Jud Kinberg
chosen
Jud Kinberg was an American film producer known for his work on a range of feature films, including the psychological thriller "The Collector."
-
B.
Michael Kagan
Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
-
C.
Scott Einbinder
Scott Einbinder is a film producer best known for his work on the dark crime thriller "Killer Joe."
-
D.
Mitch Kertzman
Mitch Kertzman is an American technology executive and entrepreneur best known for his leadership roles in the software and semiconductor industries, including at companies like LSI Logic and Sybase.
-
E.
Martin Weinberg
Martin Weinberg is a sociologist known for his influential research on human sexuality, sexual deviance, and the social construction of sexual norms.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7b6bd08190b30beba393a5b1e7 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f1e29c8190b073c3293cf68cb2 |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:55 p.m.