Triple
T2965934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bush |
E80162
|
entity |
| Predicate | singleFromAlbum |
P1995
|
FINISHED |
| Object | Peaches N Cream |
E120419
|
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: Peaches N Cream | Statement: [Bush, singleFromAlbum, Peaches N Cream]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peaches N Cream Context triple: [Bush, singleFromAlbum, Peaches N Cream]
-
A.
Peaches & Cream
chosen
"Peaches & Cream" is a popular R&B single by the group 112, known for its smooth, sensual sound and early-2000s chart success.
-
B.
Milkshake
"Milkshake" is a 2003 R&B song by American singer Kelis, best known for its catchy hook and enduring pop-culture presence.
-
C.
Brown Sugar
"Brown Sugar" is a 1971 rock song by the Rolling Stones, known for its gritty guitar riff, controversial lyrics, and status as one of the band’s signature hits.
-
D.
Brown Sugar
Brown Sugar is a 2002 romantic comedy-drama film about lifelong friends navigating love and hip-hop in New York City, starring Taye Diggs and Sanaa Lathan.
-
E.
Blueberry
Blueberry is a translucent light-blue color variant famously used on Apple’s early iMac G3 computers.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad995a28e88190a4d6b9ef2c0d8e61 |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc9fcfa48190a5e23ec1f3f01038 |
completed | March 11, 2026, 5:24 a.m. |
Created at: March 8, 2026, 2:58 p.m.