Triple
T4553179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danity Kane |
E120416
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Dawn Richard |
E440716
|
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: Dawn Richard | Statement: [Danity Kane, member, Dawn Richard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dawn Richard Context triple: [Danity Kane, member, Dawn Richard]
-
A.
Dawn Richard
chosen
Dawn Richard is an American singer, songwriter, and producer known for her work with Danity Kane and Diddy – Dirty Money as well as her experimental solo R&B and electronic projects.
-
B.
Donna Dixon
Donna Dixon is an American actress and former model known for her roles in 1980s comedies and for her long career in film and television.
-
C.
Dawn Laurel-Jones
Dawn Laurel-Jones is a photographer and the wife of American actor and filmmaker Tommy Lee Jones.
-
D.
Debralee Scott
Debralee Scott was an American actress best known for her comedic roles on 1970s and 1980s television sitcoms and films.
-
E.
Dionne Davenport
Dionne Davenport is a stylish, sharp-tongued high school student and Cher Horowitz’s best friend in the 1995 teen comedy film "Clueless."
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd581160e08190b715a8ce5c3e6c9b |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb95b01b0819094a600752e41aa09 |
completed | March 20, 2026, 9:17 p.m. |
Created at: March 20, 2026, 1:09 p.m.