Triple
T23146659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Winning Colors |
E577612
|
entity |
| Predicate | sire |
P25213
|
FINISHED |
| Object | Caro |
—
|
NE NERFINISHED |
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: Caro | Statement: [Winning Colors, sire, Caro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caro Context triple: [Winning Colors, sire, Caro]
-
A.
Caro
"Caro" is a popular Afrobeat song by Nigerian production duo Legendury Beatz, known for helping boost their prominence in the contemporary African music scene.
-
B.
Caro
chosen
Caro was a prominent French-bred Thoroughbred racehorse and influential sire known for producing top-class runners and broodmares worldwide.
-
C.
Caro
Caro is a surname most prominently associated with Robert A. Caro, the Pulitzer Prize–winning American biographer and journalist known for his exhaustive political biographies.
-
D.
Caro nome
"Caro nome" is a celebrated soprano aria sung by Gilda in Giuseppe Verdi’s opera *Rigoletto*, known for its lyrical beauty and vocal virtuosity.
-
E.
Cariño
Cariño is a coastal municipality in the province of A Coruña, Galicia, Spain, known for its rugged Atlantic cliffs and fishing heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ecee3808190aadc65c312f79f32 |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.