Triple
T3319027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. Kelly |
E69748
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kelly |
E107441
|
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: Kelly | Statement: [R. Kelly, familyName, Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelly Context triple: [R. Kelly, familyName, Kelly]
-
A.
Kelly
Kelly is the middle name of Richmond K. Turner, a prominent admiral in the United States Navy during World War II.
-
B.
Kelly
chosen
Kelly is a common Irish-origin surname widely used in English-speaking countries.
-
C.
Kelly
Kelly is a tire brand owned by the Goodyear Tire & Rubber Company, known for offering affordable, reliable tires for everyday drivers.
-
D.
Kylie
Kylie is a popular given name notably borne by American media personality and businesswoman Kylie Jenner.
-
E.
Katherine Perry
Katherine Perry was an American silent film actress active in the early 20th century, known for her roles in comedies and dramas during Hollywood's formative years.
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1151f3c8190911af4edac701116 |
completed | March 8, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f40055a48190afe401a488d3ae34 |
completed | March 12, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:11 p.m.