Triple
T9944472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wiz Khalifa |
E194166
|
entity |
| Predicate | breakthroughSingle |
P3283
|
FINISHED |
| Object | Black and Yellow |
E830357
|
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 and Yellow | Statement: [Wiz Khalifa, breakthroughSingle, Black and Yellow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black and Yellow Context triple: [Wiz Khalifa, breakthroughSingle, Black and Yellow]
-
A.
Black and Yellow
chosen
"Black and Yellow" is a 2010 hip-hop single by Wiz Khalifa that became a major commercial hit and an anthem associated with the city of Pittsburgh.
-
B.
Black-and-Red
Black-and-Red is the widely used nickname for Major League Soccer club D.C. United, referencing the team’s traditional colors and identity.
-
C.
Red, Black & Green
"Red, Black & Green" is a 1973 jazz-funk album by vibraphonist Roy Ayers that blends soulful grooves with socially conscious themes.
-
D.
Orange and Blue
Orange and Blue is the popular nickname for FC Cincinnati, highlighting the club’s distinctive team colors and identity.
-
E.
Geel-zwarten
Geel-zwarten is a common Dutch nickname referring to the football club Vitesse, derived from the team’s yellow-and-black colors.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb613fbb48190b82a06987310cc96 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23d5095e08190a34ff73ab7bcf8a6 |
completed | April 5, 2026, 10:45 a.m. |
Created at: March 30, 2026, 8:45 p.m.