Triple
T18359147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Face the Music |
E439869
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Strange Magic |
—
|
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: Strange Magic | Statement: [Face the Music, notableWork, Strange Magic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strange Magic Context triple: [Face the Music, notableWork, Strange Magic]
-
A.
Strange Magic
chosen
Strange Magic is a popular 1975 rock song by the British band Electric Light Orchestra, known for its lush orchestration and dreamy, melodic style.
-
B.
Magia
"Magia" is a dark, dramatic J-pop song by Kalafina best known as the iconic ending theme of the anime Puella Magi Madoka Magica.
-
C.
Magia
Magia is the first studio album by Colombian singer Shakira, recorded when she was a teenager and showcasing her early pop and Latin music style.
-
D.
Magia
Magia is the debut studio album by Colombian singer Maluma, showcasing his early reggaeton and Latin pop sound.
-
E.
The Magic
The Magic is a self-help book by Rhonda Byrne that expands on the themes of The Secret by focusing on the transformative power of gratitude.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d9dba8819088c5d772e3ee670d |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.