Triple
T6159155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabriel Mann |
E137396
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rosewood |
E569933
|
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: Rosewood | Statement: [Gabriel Mann, notableWork, Rosewood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rosewood Context triple: [Gabriel Mann, 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.
Belle Haven
Belle Haven is a residential neighborhood in the city of Menlo Park on the San Francisco Peninsula in California.
-
C.
Belle Haven
Belle Haven is an affluent, waterfront residential neighborhood in Greenwich, Connecticut, known for its private, gated community and scenic views of Long Island Sound.
-
D.
Ravenswood
Ravenswood is a residential neighborhood on Chicago’s North Side known for its tree-lined streets, historic homes, and convenient access to public transit.
-
E.
Ravenswood
Ravenswood is a residential and industrial neighborhood in the western part of Queens, New York City, known for its large public housing complex and waterfront power plants.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d3445dc8190822954cee90f0dd7 |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1419064a48190880005459c86322c |
completed | March 23, 2026, 1:35 p.m. |
Created at: March 22, 2026, 4:17 p.m.