Triple
T15418003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Thomaz |
E369297
|
entity |
| Predicate | notableWork |
P4
|
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: [Cameron Thomaz, notableWork, Black and Yellow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black and Yellow Context triple: [Cameron Thomaz, notableWork, 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.
Tricolor
Tricolor is a popular nickname for Club Nacional de Football, one of Uruguay’s most historic and successful football clubs.
-
E.
Orange and Blue
Orange and Blue is the popular nickname for FC Cincinnati, highlighting the club’s distinctive team colors and identity.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a78f9cc819097a6ff1e0cbdbcf3 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.