Triple
T8595477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian D. King |
E203533
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Darnell Donerson |
E38649
|
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: Darnell Donerson | Statement: [Julian D. King, relative, Darnell Donerson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darnell Donerson Context triple: [Julian D. King, relative, Darnell Donerson]
-
A.
Darnell Donerson
chosen
Darnell Donerson was the mother of singer and actress Jennifer Hudson, tragically known for her murder in 2008.
-
B.
Darnell Dalton
Darnell Dalton is a songwriter best known for contributing to the track "Drop the World."
-
C.
Darnell Scott
Darnell Scott is a music producer best known for his work on The Notorious B.I.G.’s landmark debut album "Ready to Die."
-
D.
Darnell Williams
Darnell Williams is an American actor best known for his long-running role as Jesse Hubbard on the soap opera "All My Children."
-
E.
Darnell Turner
Darnell Turner is a laid-back, enigmatic friend of Earl Hickey on the sitcom "My Name Is Earl," known for his secretive past and unexpectedly wise demeanor.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c76fd48190ae67b660c5b8e29f |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebba872b8819098ba7525944bcce1 |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:23 p.m.