Triple
T17089544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ester Dean |
E414686
|
entity |
| Predicate | hasWrittenSongsFor |
P44022
|
FINISHED |
| Object | R. Kelly |
E69748
|
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: R. Kelly | Statement: [Ester Dean, hasWrittenSongsFor, R. Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R. Kelly Context triple: [Ester Dean, hasWrittenSongsFor, R. Kelly]
-
A.
R. Kelly
chosen
R. Kelly is an American R&B singer, songwriter, and record producer known for his influential 1990s and 2000s hits as well as his later criminal convictions for sexual abuse.
-
B.
Robert Kelly
Robert Kelly was a prominent Scottish football administrator best known as the influential chairman of Celtic FC during the era of the legendary "Lisbon Lions" team.
-
C.
Chris Brown
Chris Brown is an American singer, songwriter, dancer, and actor known for his R&B and pop hits as well as his dynamic performances.
-
D.
Chris Brown
Chris Brown is a film producer known for his work on the World War II drama "The Railway Man."
-
E.
Christopher Brown
Christopher Brown is an architect known for his work on the National Theatre in London.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe9dc808190ab20537100e7ddee |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee9fd108190b12e8624bb66caf2 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.