Triple
T19234584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black and White Rainbows |
E480960
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Caroline International |
—
|
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: Caroline International | Statement: [Black and White Rainbows, recordLabel, Caroline International]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caroline International Context triple: [Black and White Rainbows, recordLabel, Caroline International]
-
A.
Caroline International
chosen
Caroline International is a global music label and services company that partners with artists and independent labels to distribute and promote their releases worldwide.
-
B.
Carolines
Carolines is a renowned New York City comedy club famous for showcasing top stand-up comedians and emerging talent.
-
C.
Caroline
Caroline was a British princess of the early 18th century, the daughter of King George II and Queen Caroline of Ansbach.
-
D.
Caroline
Caroline is a feminine given name of French and Latin origin, commonly used in English-speaking and European countries.
-
E.
Caroline
Caroline is a Danish princess, known formally as Princess Wilhelmina Caroline of Denmark, who lived in the 18th century.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faeb53988190b83afee9974058c6 |
completed | April 20, 2026, 10:07 a.m. |
Created at: April 10, 2026, 1:26 p.m.