Triple
T5088239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Hill |
E114689
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Sugar Hill |
E114689
|
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: Sugar Hill | Statement: [Sugar Hill, title, Sugar Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar Hill Context triple: [Sugar Hill, title, Sugar Hill]
-
A.
Sugar Hill
chosen
Sugar Hill is a 1993 crime drama film set in Harlem that follows two brothers navigating the dangers of the drug trade and family loyalty.
-
B.
Sugar Hill
Sugar Hill is a suburban city in Gwinnett County, Georgia, known as part of the greater Atlanta metropolitan area.
-
C.
Harlem Désir
Harlem Désir is a French politician and former Member of the European Parliament who has held prominent roles in the Socialist Party and later served as a diplomat focused on European and human rights issues.
-
D.
Brunswick Square
Brunswick Square is a garden square in the Bloomsbury district of central London, known for its Georgian architecture and literary and academic associations.
-
E.
West Side
West Side is a primarily residential neighborhood in Jersey City, New Jersey, known for its diverse community and proximity to Lincoln Park.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75219a94819094fc54c1df448470 |
completed | March 20, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb144a6108190a20bb6d9dc6bf676 |
completed | March 21, 2026, 2:55 p.m. |
Created at: March 20, 2026, 1:40 p.m.