Triple
T2848848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rambo: Last Blood |
E63044
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Avi Lerner |
E303929
|
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: Avi Lerner | Statement: [Rambo: Last Blood, producer, Avi Lerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avi Lerner Context triple: [Rambo: Last Blood, producer, Avi Lerner]
-
A.
Avi Lerner
chosen
Avi Lerner is an Israeli-American film producer and founder of Millennium Films, known for financing and producing numerous action movies and franchises.
-
B.
Eli Segal
Eli Segal was an American political strategist and nonprofit leader known for his senior roles in Democratic campaigns and for helping launch major national service initiatives like AmeriCorps.
-
C.
Avi Kivity
Avi Kivity is an Israeli software engineer best known as the original creator of the KVM virtualization infrastructure for the Linux kernel.
-
D.
Jay Rabinowitz
Jay Rabinowitz is a film editor known for his work on numerous feature films, including the science-fiction thriller "The Adjustment Bureau."
-
E.
Mark Rosner
Mark Rosner is a screenwriter best known for co-writing the 1996 action film "The Rock."
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf41ac24819087c5b72e3b84117c |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d81e76c8190aae5e6dd9b13e28b |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 10:02 p.m.