Triple
T13072706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 24K Magic |
E329493
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Chunky |
E1021015
|
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: Chunky | Statement: [24K Magic, track, Chunky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chunky Context triple: [24K Magic, track, Chunky]
-
A.
Chunky
Chunky is a popular Campbell Soup Company brand known for its hearty, thick soups and stews marketed as a filling meal.
-
B.
Chunky
chosen
"Chunky" is a funk-influenced R&B track by Bruno Mars from his album *24K Magic*, known for its retro groove and smooth party vibe.
-
C.
Chubby
Chubby is a rotund, comedic child character from the classic "Our Gang" (also known as "The Little Rascals") film series.
-
D.
Chubby
Chubby is a distributed lock service and coarse-grained coordination system developed by Google to provide reliable synchronization and metadata storage for large-scale distributed applications.
-
E.
Thickfreakness
Thickfreakness is a raw, blues-rock album by American duo The Black Keys that helped establish their gritty, lo-fi sound 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e27058dc8190a64e1a929f296619 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9 p.m.