Triple
T3295068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angela Hunte |
E69194
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Danity Kane |
E120416
|
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: Danity Kane | Statement: [Angela Hunte, associatedAct, Danity Kane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danity Kane Context triple: [Angela Hunte, associatedAct, Danity Kane]
-
A.
Danity Kane
chosen
Danity Kane is an American girl group formed on the MTV reality show "Making the Band," known for their R&B and pop hits in the mid-2000s.
-
B.
Ashanti
Ashanti is a major ethnic group and former powerful kingdom in what is now Ghana, known for its rich culture, military strength, and influential role in West African history.
-
C.
Kelis
Kelis is an American singer, songwriter, and chef best known for her eclectic R&B and hip-hop-influenced music, including the hit single "Milkshake."
-
D.
Syleena Johnson
Syleena Johnson is an American R&B and soul singer-songwriter known for her powerful vocals and collaborations with artists like Kanye West.
-
E.
Anastacia
Anastacia is an American pop singer-songwriter known for her powerful mezzo-soprano voice and international hits in the early 2000s.
- 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_69ad859e529c8190a404273f53cb487d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb07661748190bf57469e101c5283 |
completed | March 8, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e86b8e04819091f4a4ae6d6a87ad |
completed | March 12, 2026, 4:23 p.m. |
Created at: March 8, 2026, 3:10 p.m.