Triple
T20478614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loren Dean |
E502391
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rosewood |
—
|
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: Rosewood | Statement: [Loren Dean, notableWork, Rosewood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosewood Context triple: [Loren Dean, notableWork, Rosewood]
-
A.
Rosewood
chosen
Rosewood is a 1997 historical drama film directed by John Singleton that depicts the 1923 racially motivated massacre in the African-American community of Rosewood, Florida.
-
B.
Rosewood
Rosewood is an American crime drama television series centered on a charismatic private pathologist who assists the Miami Police Department in solving complex murder cases.
-
C.
Rosewood
Rosewood is a small rural town in Queensland, Australia, known historically for its coal mining and farming communities.
-
D.
Rosegreen
Rosegreen is a small rural village in County Tipperary, Ireland, known for its agricultural surroundings and close-knit community.
-
E.
Belle Haven
Belle Haven is a residential neighborhood in the city of Menlo Park on the San Francisco Peninsula in California.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b54c8188190a71e35fab8d194a6 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.