Triple
T16461622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global |
E399819
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object | Classic FM |
E907459
|
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: Classic FM | Statement: [Global, ownsBrand, Classic FM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Classic FM Context triple: [Global, ownsBrand, Classic FM]
-
A.
Classic FM
chosen
Classic FM is a UK-based national commercial radio station dedicated to accessible classical music programming and popular orchestral works.
-
B.
Radio Clásica
Radio Clásica is a Spanish public radio station specializing in classical music and cultural programming, operated by the national broadcaster RTVE.
-
C.
Classique
Classique is a signature women's fragrance by French designer Jean Paul Gaultier, known for its sensual, powdery-floral scent and iconic corset-shaped bottle.
-
D.
Classic
Classic is the entry-level membership tier in the Miles&Smiles frequent flyer loyalty program.
-
E.
BBC Radio 3
BBC Radio 3 is a British national radio station operated by the BBC, best known for its focus on classical music, opera, jazz, and arts programming.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d819d548190bc76a0ec2e223437 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f555f6081908b1f0d524b6fb9a7 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.