Triple
T23085939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brooklyn Girls |
E575597
|
entity |
| Predicate | creditedTo |
P9647
|
FINISHED |
| Object | Charles Hamilton |
—
|
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: Charles Hamilton | Statement: [Brooklyn Girls, creditedTo, Charles Hamilton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Hamilton Context triple: [Brooklyn Girls, creditedTo, Charles Hamilton]
-
A.
Charles Hamilton
chosen
Charles Hamilton is a name shared by several notable individuals, including an 18th-century Scottish-born British politician and a contemporary American rapper and producer.
-
B.
Wilson Cary Nicholas
Wilson Cary Nicholas was an American politician and planter from Virginia who served as a U.S. Senator and later as the state's governor in the early 19th century.
-
C.
Thomas Burke
Thomas Burke was an American politician who served as the third Governor of North Carolina during the early years of the United States.
-
D.
Thomas Burke
Thomas Burke was a British author best known for his early 20th-century stories set in London’s East End, including the tale that inspired the film "Broken Blossoms."
-
E.
Thomas Burke
Thomas Burke is a common personal name shared by numerous individuals across various fields, including politics, sports, literature, and the arts.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da573588190a8e0c859667e64a6 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.