Triple
T9056367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radio Nowhere |
E217007
|
entity |
| Predicate | album |
P1995
|
FINISHED |
| Object | Magic |
E40135
|
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: Magic | Statement: [Radio Nowhere, album, Magic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magic Context triple: [Radio Nowhere, album, Magic]
-
A.
Magic
chosen
Magic is a 2007 studio album by Bruce Springsteen, known for its E Street Band rock sound and politically charged themes.
-
B.
Magic
Magic is a 1978 psychological horror film about a troubled ventriloquist whose relationship with his sinister dummy spirals into violence, featuring a celebrated performance by Anthony Hopkins.
-
C.
Magic
"Magic" is a 1980 soft rock hit by Olivia Newton-John, best known for its dreamy production and chart-topping success from the soundtrack of the film *Xanadu*.
-
D.
Magic
Magic is an American rapper known for his work with No Limit Records in the late 1990s and early 2000s, contributing to the Southern hip hop scene.
-
E.
Magic
"Magic" is a jazz composition best known through its recording by the ensemble April in Paris.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a75d8e881909414d745ec054182 |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebe40ec08190a1da2aa1c6577723 |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:10 p.m.