Triple
T22948250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosewood |
E569933
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Johnny E. Jensen |
—
|
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: Johnny E. Jensen | Statement: [Rosewood, cinematographyBy, Johnny E. Jensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny E. Jensen Context triple: [Rosewood, cinematographyBy, Johnny E. Jensen]
-
A.
Johnny E. Jensen
chosen
Johnny E. Jensen is a Danish-born American cinematographer known for his work on numerous films and television productions.
-
B.
Lowell Jensen
Lowell Jensen is an American lawyer and former U.S. Department of Justice official who served in senior prosecutorial and judicial roles, including as a federal judge.
-
C.
Lloyd Hansen
Lloyd Hansen is the ruthless and unhinged former CIA operative who serves as the primary villain in the action thriller film "The Gray Man."
-
D.
John Laurence Jensen
John Laurence Jensen was a notable figure significant enough to have the community of Jensen Beach in Florida named in his honor.
-
E.
Johnny Johnsten
Johnny Johnsten is a character from the film "Junebug," contributing to the movie’s exploration of complex family dynamics in the American South.
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1819fbf8c8190ad80c93f1507aa73 |
completed | April 29, 2026, 3:57 a.m. |
Created at: April 17, 2026, 3:46 p.m.