Triple
T14726766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Sylvester Kelly |
E345963
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | Black Panties |
E345993
|
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: Black Panties | Statement: [Robert Sylvester Kelly, notableAlbum, Black Panties]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Panties Context triple: [Robert Sylvester Kelly, notableAlbum, Black Panties]
-
A.
Black Panties
chosen
Black Panties is a 2013 R&B studio album by American singer R. Kelly, known for its sexually explicit themes and contemporary R&B sound.
-
B.
The Panties
The Panties is a track by Mos Def featured on his genre-blending album "The New Danger."
-
C.
Thunderpants
Thunderpants is a 2002 British family comedy film about a boy with an extraordinary flatulence problem who ends up becoming an unlikely hero.
-
D.
Dirty Pants
"Dirty Pants" is a song featured on the album "Rain on Lens" by the indie rock band Smog (Bill Callahan).
-
E.
Big Pants
Big Pants is the popular nickname for Beijing's iconic, loop-shaped CCTV Headquarters skyscraper, known for its striking and unconventional architecture.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec26013c8819090512f8b4df9cc87 |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf099eaf48190b89032b6ac769e67 |
completed | May 8, 2026, 2:18 p.m. |
Created at: April 10, 2026, 1:29 a.m.