Triple
T16182299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rush Hour 3 |
E392713
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Ross LaManna |
—
|
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: Ross LaManna | Statement: [Rush Hour 3, storyBy, Ross LaManna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross LaManna Context triple: [Rush Hour 3, storyBy, Ross LaManna]
-
A.
Ross LaManna
chosen
Ross LaManna is an American screenwriter best known for originating and writing the story that launched the action-comedy "Rush Hour" film franchise.
-
B.
Matthew C. Lamanna
Matthew C. Lamanna is an American paleontologist known for his research on Cretaceous dinosaurs and participation in the discovery and description of several notable species.
-
C.
Richard LaPenna
Richard LaPenna is the son of psychiatrist Dr. Jennifer Melfi in the television series "The Sopranos."
-
D.
John Cusimano
John Cusimano is an American lawyer, musician, and television producer best known as the longtime husband of celebrity chef and TV host Rachael Ray.
-
E.
Michael Raffetto
Michael Raffetto was an American radio actor best known for his prominent roles in classic radio dramas during the 1930s and 1940s.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205d858c8190802d44e08e3cdcd6 |
completed | April 17, 2026, 11:58 a.m. |
Created at: April 10, 2026, 5:02 a.m.